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[sam] removing CMSIS 2.0 before introduction of 2.1

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This commit is contained in:
Thibaut VIARD
2011-08-08 16:47:13 +02:00
parent d9dcc66232
commit 32f3cf5734
1219 changed files with 0 additions and 323654 deletions
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14
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_class_marks_example/arm_class_marks_example.ini
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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_class_marks_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_class_marks_example/arm_class_marks_example.uvopt
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_class_marks_example/arm_class_marks_example.uvproj
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_class_marks_example/src/arm_class_marks_example_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_class_marks_example_f32.c
*
* Description: Example code to calculate Minimum, Maximum
* Mean, std and variance of marks obtained in a class
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup ClassMarks Class Marks Example
*
* \par Description:
* \par
* Demonstrates the use the Maximum, Minimum, Mean, Standard Deviation, Variance
* and Matrix functions to calculate statistical values of marks obtained in a class.
*
* \note This example also demonstrates the usage of static initialization.
*
* \par Variables Description:
* \par
* \li \c testMarks_f32 points to the marks scored by 20 students in 4 subjects
* \li \c max_marks Maximum of all marks
* \li \c min_marks Minimum of all marks
* \li \c mean Mean of all marks
* \li \c var Variance of the marks
* \li \c std Standard deviation of the marks
* \li \c numStudents Total number of students in the class
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_mat_init_f32()
* - arm_mat_mult_f32()
* - arm_max_f32()
* - arm_min_f32()
* - arm_mean_f32()
* - arm_std_f32()
* - arm_var_f32()
*
* <b> Refer </b>
* \link arm_class_marks_example_f32.c \endlink
*
*/
/** \example arm_class_marks_example_f32.c
*/
#include "arm_math.h"
#define USE_STATIC_INIT
/* ----------------------------------------------------------------------
** Global defines
** ------------------------------------------------------------------- */
#define TEST_LENGTH_SAMPLES (20*4)
/* ----------------------------------------------------------------------
** List of Marks scored by 20 students for 4 subjects
** ------------------------------------------------------------------- */
const float32_t testMarks_f32[TEST_LENGTH_SAMPLES] =
{
42.000000, 37.000000, 81.000000, 28.000000,
83.000000, 72.000000, 36.000000, 38.000000,
32.000000, 51.000000, 63.000000, 64.000000,
97.000000, 82.000000, 95.000000, 90.000000,
66.000000, 51.000000, 54.000000, 42.000000,
67.000000, 56.000000, 45.000000, 57.000000,
67.000000, 69.000000, 35.000000, 52.000000,
29.000000, 81.000000, 58.000000, 47.000000,
38.000000, 76.000000, 100.000000, 29.000000,
33.000000, 47.000000, 29.000000, 50.000000,
34.000000, 41.000000, 61.000000, 46.000000,
52.000000, 50.000000, 48.000000, 36.000000,
47.000000, 55.000000, 44.000000, 40.000000,
100.000000, 94.000000, 84.000000, 37.000000,
32.000000, 71.000000, 47.000000, 77.000000,
31.000000, 50.000000, 49.000000, 35.000000,
63.000000, 67.000000, 40.000000, 31.000000,
29.000000, 68.000000, 61.000000, 38.000000,
31.000000, 28.000000, 28.000000, 76.000000,
55.000000, 33.000000, 29.000000, 39.000000
};
/* ----------------------------------------------------------------------
* Number of subjects X 1
* ------------------------------------------------------------------- */
const float32_t testUnity_f32[4] =
{
1.000, 1.000, 1.000, 1.000
};
/* ----------------------------------------------------------------------
** f32 Output buffer
** ------------------------------------------------------------------- */
static float32_t testOutput[TEST_LENGTH_SAMPLES];
/* ------------------------------------------------------------------
* Global defines
*------------------------------------------------------------------- */
#define NUMSTUDENTS 20
#define NUMSUBJECTS 4
/* ------------------------------------------------------------------
* Global variables
*------------------------------------------------------------------- */
uint32_t numStudents = 20;
uint32_t numSubjects = 4;
float32_t max_marks, min_marks, mean, std, var;
uint32_t student_num;
/* ----------------------------------------------------------------------------------
* Main f32 test function. It returns maximum marks secured and student number
* ------------------------------------------------------------------------------- */
int32_t main()
{
#ifndef USE_STATIC_INIT
arm_matrix_instance_f32 srcA;
arm_matrix_instance_f32 srcB;
arm_matrix_instance_f32 dstC;
/* Input and output matrices initializations */
arm_mat_init_f32(&srcA, numStudents, numSubjects, (float32_t *)testMarks_f32);
arm_mat_init_f32(&srcB, numSubjects, 1, (float32_t *)testUnity_f32);
arm_mat_init_f32(&dstC, numStudents, 1, testOutput);
#else
/* Static Initializations of Input and output matrix sizes and array */
arm_matrix_instance_f32 srcA = {NUMSTUDENTS, NUMSUBJECTS, (float32_t *)testMarks_f32};
arm_matrix_instance_f32 srcB = {NUMSUBJECTS, 1, (float32_t *)testUnity_f32};
arm_matrix_instance_f32 dstC = {NUMSTUDENTS, 1, testOutput};
#endif
/* ----------------------------------------------------------------------
*Call the Matrix multiplication process function
* ------------------------------------------------------------------- */
arm_mat_mult_f32(&srcA, &srcB, &dstC);
/* ----------------------------------------------------------------------
** Call the Max function to calculate max marks among numStudents
** ------------------------------------------------------------------- */
arm_max_f32(testOutput, numStudents, &max_marks, &student_num);
/* ----------------------------------------------------------------------
** Call the Min function to calculate min marks among numStudents
** ------------------------------------------------------------------- */
arm_min_f32(testOutput, numStudents, &min_marks, &student_num);
/* ----------------------------------------------------------------------
** Call the Mean function to calculate mean
** ------------------------------------------------------------------- */
arm_mean_f32(testOutput, numStudents, &mean);
/* ----------------------------------------------------------------------
** Call the std function to calculate standard deviation
** ------------------------------------------------------------------- */
arm_std_f32(testOutput, numStudents, &std);
/* ----------------------------------------------------------------------
** Call the var function to calculate variance
** ------------------------------------------------------------------- */
arm_var_f32(testOutput, numStudents, &var);
}

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_convolution_example/arm_convolution_example.ini
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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_convolution_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_convolution_example/arm_convolution_example.uvopt
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_convolution_example/arm_convolution_example.uvproj
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_convolution_example/src/arm_convolution_example_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_convolution_example_f32.c
*
* Description: Example code demonstrating Convolution of two input signals using fft.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup ConvolutionExample Convolution Example
*
* \par Description:
* \par
* Demonstrates the convolution theorem with the use of the Complex FFT, Complex-by-Complex
* Multiplication, and Support Functions.
*
* \par Algorithm:
* \par
* The convolution theorem states that convolution in the time domain corresponds to
* multiplication in the frequency domain. Therefore, the Fourier transform of the convoution of
* two signals is equal to the product of their individual Fourier transforms.
* The Fourier transform of a signal can be evaluated efficiently using the Fast Fourier Transform (FFT).
* \par
* Two input signals, <code>a[n]</code> and <code>b[n]</code>, with lengths \c n1 and \c n2 respectively,
* are zero padded so that their lengths become \c N, which is greater than or equal to <code>(n1+n2-1)</code>
* and is a power of 4 as FFT implementation is radix-4.
* The convolution of <code>a[n]</code> and <code>b[n]</code> is obtained by taking the FFT of the input
* signals, multiplying the Fourier transforms of the two signals, and taking the inverse FFT of
* the multiplied result.
* \par
* This is denoted by the following equations:
* <pre> A[k] = FFT(a[n],N)
* B[k] = FFT(b[n],N)
* conv(a[n], b[n]) = IFFT(A[k] * B[k], N)</pre>
* where <code>A[k]</code> and <code>B[k]</code> are the N-point FFTs of the signals <code>a[n]</code>
* and <code>b[n]</code> respectively.
* The length of the convolved signal is <code>(n1+n2-1)</code>.
*
* \par Block Diagram:
* \par
* \image html Convolution.gif
*
* \par Variables Description:
* \par
* \li \c testInputA_f32 points to the first input sequence
* \li \c srcALen length of the first input sequence
* \li \c testInputB_f32 points to the second input sequence
* \li \c srcBLen length of the second input sequence
* \li \c outLen length of convolution output sequence, <code>(srcALen + srcBLen - 1)</code>
* \li \c AxB points to the output array where the product of individual FFTs of inputs is stored.
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_fill_f32()
* - arm_copy_f32()
* - arm_cfft_radix4_init_f32()
* - arm_cfft_radix4_f32()
* - arm_cmplx_mult_cmplx_f32()
*
* <b> Refer </b>
* \link arm_convolution_example_f32.c \endlink
*
*/
/** \example arm_convolution_example_f32.c
*/
#include "arm_math.h"
#include "math_helper.h"
/* ----------------------------------------------------------------------
* Defines each of the tests performed
* ------------------------------------------------------------------- */
#define MAX_BLOCKSIZE 128
#define DELTA (0.000001f)
#define SNR_THRESHOLD 90
/* ----------------------------------------------------------------------
* Declare I/O buffers
* ------------------------------------------------------------------- */
float32_t Ak[MAX_BLOCKSIZE]; /* Input A */
float32_t Bk[MAX_BLOCKSIZE]; /* Input B */
float32_t AxB[MAX_BLOCKSIZE * 2]; /* Output */
/* ----------------------------------------------------------------------
* Test input data for Floating point Convolution example for 32-blockSize
* Generated by the MATLAB randn() function
* ------------------------------------------------------------------- */
float32_t testInputA_f32[64] =
{
-0.808920, 1.357369, 1.180861, -0.504544, 1.762637, -0.703285,
1.696966, 0.620571, -0.151093, -0.100235, -0.872382, -0.403579,
-0.860749, -0.382648, -1.052338, 0.128113, -0.646269, 1.093377,
-2.209198, 0.471706, 0.408901, 1.266242, 0.598252, 1.176827,
-0.203421, 0.213596, -0.851964, -0.466958, 0.021841, -0.698938,
-0.604107, 0.461778, -0.318219, 0.942520, 0.577585, 0.417619,
0.614665, 0.563679, -1.295073, -0.764437, 0.952194, -0.859222,
-0.618554, -2.268542, -1.210592, 1.655853, -2.627219, -0.994249,
-1.374704, 0.343799, 0.025619, 1.227481, -0.708031, 0.069355,
-1.845228, -1.570886, 1.010668, -1.802084, 1.630088, 1.286090,
-0.161050, -0.940794, 0.367961, 0.291907
};
float32_t testInputB_f32[64] =
{
0.933724, 0.046881, 1.316470, 0.438345, 0.332682, 2.094885,
0.512081, 0.035546, 0.050894, -2.320371, 0.168711, -1.830493,
-0.444834, -1.003242, -0.531494, -1.365600, -0.155420, -0.757692,
-0.431880, -0.380021, 0.096243, -0.695835, 0.558850, -1.648962,
0.020369, -0.363630, 0.887146, 0.845503, -0.252864, -0.330397,
1.269131, -1.109295, -1.027876, 0.135940, 0.116721, -0.293399,
-1.349799, 0.166078, -0.802201, 0.369367, -0.964568, -2.266011,
0.465178, 0.651222, -0.325426, 0.320245, -0.784178, -0.579456,
0.093374, 0.604778, -0.048225, 0.376297, -0.394412, 0.578182,
-1.218141, -1.387326, 0.692462, -0.631297, 0.153137, -0.638952,
0.635474, -0.970468, 1.334057, -0.111370
};
const float testRefOutput_f32[126] =
{
-0.818943, 1.229484, -0.533664, 1.016604, 0.341875, -1.963656,
5.171476, 3.478033, 7.616361, 6.648384, 0.479069, 1.792012,
-1.295591, -7.447818, 0.315830, -10.657445, -2.483469, -6.524236,
-7.380591, -3.739005, -8.388957, 0.184147, -1.554888, 3.786508,
-1.684421, 5.400610, -1.578126, 7.403361, 8.315999, 2.080267,
11.077776, 2.749673, 7.138962, 2.748762, 0.660363, 0.981552,
1.442275, 0.552721, -2.576892, 4.703989, 0.989156, 8.759344,
-0.564825, -3.994680, 0.954710, -5.014144, 6.592329, 1.599488,
-13.979146, -0.391891, -4.453369, -2.311242, -2.948764, 1.761415,
-0.138322, 10.433007, -2.309103, 4.297153, 8.535523, 3.209462,
8.695819, 5.569919, 2.514304, 5.582029, 2.060199, 0.642280,
7.024616, 1.686615, -6.481756, 1.343084, -3.526451, 1.099073,
-2.965764, -0.173723, -4.111484, 6.528384, -6.965658, 1.726291,
1.535172, 11.023435, 2.338401, -4.690188, 1.298210, 3.943885,
8.407885, 5.168365, 0.684131, 1.559181, 1.859998, 2.852417,
8.574070, -6.369078, 6.023458, 11.837963, -6.027632, 4.469678,
-6.799093, -2.674048, 6.250367, -6.809971, -3.459360, 9.112410,
-2.711621, -1.336678, 1.564249, -1.564297, -1.296760, 8.904013,
-3.230109, 6.878013, -7.819823, 3.369909, -1.657410, -2.007358,
-4.112825, 1.370685, -3.420525, -6.276605, 3.244873, -3.352638,
1.545372, 0.902211, 0.197489, -1.408732, 0.523390, 0.348440
};
/* ----------------------------------------------------------------------
* Declare Global variables
* ------------------------------------------------------------------- */
uint32_t srcALen = 64; /* Length of Input A */
uint32_t srcBLen = 64; /* Length of Input B */
uint32_t outLen; /* Length of convolution output */
float32_t snr; /* output SNR */
int32_t main(void)
{
arm_status status; /* Status of the example */
arm_cfft_radix4_instance_f32 cfft_instance; /* CFFT Structure instance */
/* CFFT Structure instance pointer */
arm_cfft_radix4_instance_f32 *cfft_instance_ptr =
(arm_cfft_radix4_instance_f32*) &cfft_instance;
/* output length of convolution */
outLen = srcALen + srcBLen - 1;
/* Initialise the fft input buffers with all zeros */
arm_fill_f32(0.0, Ak, MAX_BLOCKSIZE);
arm_fill_f32(0.0, Bk, MAX_BLOCKSIZE);
/* Copy the input values to the fft input buffers */
arm_copy_f32(testInputA_f32, Ak, MAX_BLOCKSIZE/2);
arm_copy_f32(testInputB_f32, Bk, MAX_BLOCKSIZE/2);
/* Initialize the CFFT function to compute 64 point fft */
status = arm_cfft_radix4_init_f32(cfft_instance_ptr, 64, 0, 1);
/* Transform input a[n] from time domain to frequency domain A[k] */
arm_cfft_radix4_f32(cfft_instance_ptr, Ak);
/* Transform input b[n] from time domain to frequency domain B[k] */
arm_cfft_radix4_f32(cfft_instance_ptr, Bk);
/* Complex Multiplication of the two input buffers in frequency domain */
arm_cmplx_mult_cmplx_f32(Ak, Bk, AxB, MAX_BLOCKSIZE/2);
/* Initialize the CIFFT function to compute 64 point ifft */
status = arm_cfft_radix4_init_f32(cfft_instance_ptr, 64, 1, 1);
/* Transform the multiplication output from frequency domain to time domain,
that gives the convolved output */
arm_cfft_radix4_f32(cfft_instance_ptr, AxB);
/* SNR Calculation */
snr = arm_snr_f32((float32_t *)testRefOutput_f32, AxB, srcALen + srcBLen - 1);
/* Compare the SNR with threshold to test whether the
computed output is matched with the reference output values. */
if( snr > SNR_THRESHOLD)
{
status = ARM_MATH_SUCCESS;
}
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_dotproduct_example/arm_dotproduct_example.ini
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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_dotproduct_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_dotproduct_example_f32.c
*
* Description: Example code computing dot product of two vectors.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup DotproductExample Dot Product Example
*
* \par Description:
* \par
* Demonstrates the use of the Multiply and Add functions to perform the dot product.
* The dot product of two vectors is obtained by multiplying corresponding elements
* and summing the products.
* \par Algorithm:
* \par
* The two input vectors \c A and \c B with length \c n, are multiplied element-by-element
* and then added to obtain dot product.
* \par
* This is denoted by the following equation:
* <pre> dotProduct = A[0] * B[0] + A[1] * B[1] + ... + A[n-1] * B[n-1]</pre>
*
* \par Block Diagram:
* \par
* \image html dotProduct.gif
*
* \par Variables Description:
* \par
* \li \c srcA_buf_f32 points to first input vector
* \li \c srcB_buf_f32 points to second input vector
* \li \c testOutput stores dot product of the two input vectors.
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_mult_f32()
* - arm_add_f32()
*
* <b> Refer </b>
* \link arm_dotproduct_example_f32.c \endlink
*
*/
/** \example arm_dotproduct_example_f32.c
*/
#include <math.h>
#include "arm_math.h"
/* ----------------------------------------------------------------------
* Defines each of the tests performed
* ------------------------------------------------------------------- */
#define MAX_BLOCKSIZE 32
#define DELTA (0.000001f)
/* ----------------------------------------------------------------------
* Test input data for Floating point Dot Product example for 32-blockSize
* Generated by the MATLAB randn() function
* ------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
** Test input data of srcA for blockSize 32
** ------------------------------------------------------------------- */
float32_t srcA_buf_f32[MAX_BLOCKSIZE] =
{
-0.4325648115282207, -1.6655843782380970, 0.1253323064748307,
0.2876764203585489, -1.1464713506814637, 1.1909154656429988,
1.1891642016521031, -0.0376332765933176, 0.3272923614086541,
0.1746391428209245, -0.1867085776814394, 0.7257905482933027,
-0.5883165430141887, 2.1831858181971011, -0.1363958830865957,
0.1139313135208096, 1.0667682113591888, 0.0592814605236053,
-0.0956484054836690, -0.8323494636500225, 0.2944108163926404,
-1.3361818579378040, 0.7143245518189522, 1.6235620644462707,
-0.6917757017022868, 0.8579966728282626, 1.2540014216025324,
-1.5937295764474768, -1.4409644319010200, 0.5711476236581780,
-0.3998855777153632, 0.6899973754643451
};
/* ----------------------------------------------------------------------
** Test input data of srcB for blockSize 32
** ------------------------------------------------------------------- */
float32_t srcB_buf_f32[MAX_BLOCKSIZE] =
{
1.7491401329284098, 0.1325982188803279, 0.3252281811989881,
-0.7938091410349637, 0.3149236145048914, -0.5272704888029532,
0.9322666565031119, 1.1646643544607362, -2.0456694357357357,
-0.6443728590041911, 1.7410657940825480, 0.4867684246821860,
1.0488288293660140, 1.4885752747099299, 1.2705014969484090,
-1.8561241921210170, 2.1343209047321410, 1.4358467535865909,
-0.9173023332875400, -1.1060770780029008, 0.8105708062681296,
0.6985430696369063, -0.4015827425012831, 1.2687512030669628,
-0.7836083053674872, 0.2132664971465569, 0.7878984786088954,
0.8966819356782295, -0.1869172943544062, 1.0131816724341454,
0.2484350696132857, 0.0596083377937976
};
/* Reference dot product output */
float32_t refDotProdOut = 5.9273644806352142;
/* ----------------------------------------------------------------------
* Declare Global variables
* ------------------------------------------------------------------- */
float32_t multOutput[MAX_BLOCKSIZE]; /* Intermediate output */
float32_t testOutput; /* Final ouput */
int32_t main(void)
{
arm_status status; /* Status of the example */
uint32_t i; /* Loop counter */
float32_t diff; /* Difference between reference and test outputs */
/* Multiplication of two input buffers */
arm_mult_f32(srcA_buf_f32, srcB_buf_f32, multOutput, MAX_BLOCKSIZE);
/* Accumulate the multiplication output values to
get the dot product of the two inputs */
for(i=0; i< MAX_BLOCKSIZE; i++)
{
arm_add_f32(&testOutput, &multOutput[i], &testOutput, 1);
}
/* absolute value of difference between ref and test */
diff = fabsf(refDotProdOut - testOutput);
/* Comparison of dot product value with reference */
if(diff > DELTA)
{
status = ARM_MATH_TEST_FAILURE;
}
if( status == ARM_MATH_TEST_FAILURE)
{
while(1);
}
}
/** \endlink */

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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_fft_bin_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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</Project>

268
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fft_bin_example/src/arm_fft_bin_data.c
View File

@ -1,268 +0,0 @@
#include "arm_math.h"
/* ----------------------------------------------------------------------
Test Input signal contains 10KHz signal + Uniformly distributed white noise
** ------------------------------------------------------------------- */
float32_t testInput_f32_10khz[2048] =
{
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150
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fft_bin_example/src/arm_fft_bin_example_f32.c
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@ -1,150 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_fft_bin_example_f32.c
*
* Description: Example code demonstrating calculation of Max energy bin of
* frequency domain of input signal.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup FrequencyBin Frequency Bin Example
*
* \par Description
* \par
* Demonstrates the calculation of the maximum energy bin in the frequency
* domain of the input signal with the use of Complex FFT, Complex
* Magnitude, and Maximum functions.
*
* \par Algorithm:
* \par
* The input test signal contains a 10 kHz signal with uniformly distributed white noise.
* Calculating the FFT of the input signal will give us the maximum energy of the
* bin corresponding to the input frequency of 10 kHz.
*
* \par Block Diagram:
* \image html FFTBin.gif "Block Diagram"
* \par
* The figure below shows the time domain signal of 10 kHz signal with
* uniformly distributed white noise, and the next figure shows the input
* in the frequency domain. The bin with maximum energy corresponds to 10 kHz signal.
* \par
* \image html FFTBinInput.gif "Input signal in Time domain"
* \image html FFTBinOutput.gif "Input signal in Frequency domain"
*
* \par Variables Description:
* \par
* \li \c testInput_f32_10khz points to the input data
* \li \c testOutput points to the output data
* \li \c fftSize length of FFT
* \li \c ifftFlag flag for the selection of CFFT/CIFFT
* \li \c doBitReverse Flag for selection of normal order or bit reversed order
* \li \c refIndex reference index value at which maximum energy of bin ocuurs
* \li \c testIndex calculated index value at which maximum energy of bin ocuurs
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_cfft_radix4_init_f32()
* - arm_cfft_radix4_f32()
* - arm_cmplx_mag_f32()
* - arm_max_f32()
*
* <b> Refer </b>
* \link arm_fft_bin_example_f32.c \endlink
*
*/
/** \example arm_fft_bin_example_f32.c
*/
#include "arm_math.h"
#define TEST_LENGTH_SAMPLES 2048
/* -------------------------------------------------------------------
* External Input and Output buffer Declarations for FFT Bin Example
* ------------------------------------------------------------------- */
extern float32_t testInput_f32_10khz[TEST_LENGTH_SAMPLES];
static float32_t testOutput[TEST_LENGTH_SAMPLES/2];
/* ------------------------------------------------------------------
* Global variables for FFT Bin Example
* ------------------------------------------------------------------- */
uint32_t fftSize = 1024;
uint32_t ifftFlag = 0;
uint32_t doBitReverse = 1;
/* Reference index at which max energy of bin ocuurs */
uint32_t refIndex = 213, testIndex = 0;
/* ----------------------------------------------------------------------
* Max magnitude FFT Bin test
* ------------------------------------------------------------------- */
int32_t main(void)
{
arm_status status;
arm_cfft_radix4_instance_f32 S;
float32_t maxValue;
status = ARM_MATH_SUCCESS;
/* Initialize the CFFT/CIFFT module */
status = arm_cfft_radix4_init_f32(&S, fftSize,
ifftFlag, doBitReverse);
/* Process the data through the CFFT/CIFFT module */
arm_cfft_radix4_f32(&S, testInput_f32_10khz);
/* Process the data through the Complex Magnitude Module for
calculating the magnitude at each bin */
arm_cmplx_mag_f32(testInput_f32_10khz, testOutput,
fftSize);
/* Calculates maxValue and returns corresponding BIN value */
arm_max_f32(testOutput, fftSize, &maxValue, &testIndex);
if(testIndex != refIndex)
{
status = ARM_MATH_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
** Loop here if the signals fail the PASS check.
** This denotes a test failure
** ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

12
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fir_example/arm_fir_example.ini
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@ -1,12 +0,0 @@
/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_fir_lpf_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

303
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fir_example/arm_fir_example.uvopt
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fir_example/src/arm_fir_data.c
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@ -1,94 +0,0 @@
#include "arm_math.h"
/* ----------------------------------------------------------------------
** Test input signal contains 1000Hz + 15000 Hz
** ------------------------------------------------------------------- */
float32_t testInput_f32_1kHz_15kHz[320] =
{
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-0.0000000000f, +0.5924659585f, -0.0947343455f, +0.1913417162f, +1.0000000000f, +0.4174197128f, +0.3535533906f, +1.2552931065f,
+0.8660254038f, +0.4619397663f, +1.3194792169f, +1.1827865776f, +0.5000000000f, +1.1827865776f, +1.3194792169f, +0.4619397663f,
+0.8660254038f, +1.2552931065f, +0.3535533906f, +0.4174197128f, +1.0000000000f, +0.1913417162f, -0.0947343455f, +0.5924659585f,
+0.0000000000f, -0.5924659585f, +0.0947343455f, -0.1913417162f, -1.0000000000f, -0.4174197128f, -0.3535533906f, -1.2552931065f,
};
float32_t refOutput[320] =
{
+0.0000000000f, -0.0010797829f, -0.0007681386f, -0.0001982932f, +0.0000644313f, +0.0020854271f, +0.0036891871f, +0.0015855941f,
-0.0026280805f, -0.0075907658f, -0.0119390538f, -0.0086665968f, +0.0088981202f, +0.0430539279f, +0.0974468742f, +0.1740405600f,
+0.2681416601f, +0.3747720089f, +0.4893362230f, +0.6024154672f, +0.7058740791f, +0.7968348987f, +0.8715901940f, +0.9277881093f,
+0.9682182661f, +0.9934674267f, +1.0012052245f, +0.9925859371f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f,
+0.7085021596f, +0.6100062330f, +0.5012752767f, +0.3834386057f, +0.2592435399f, +0.1309866321f, -0.0000000000f, -0.1309866321f,
-0.2592435399f, -0.3834386057f, -0.5012752767f, -0.6100062330f, -0.7085021596f, -0.7952493046f, -0.8679010068f, -0.9257026822f,
-0.9681538347f, -0.9936657199f, -1.0019733630f, -0.9936657199f, -0.9681538347f, -0.9257026822f, -0.8679010068f, -0.7952493046f,
-0.7085021596f, -0.6100062330f, -0.5012752767f, -0.3834386057f, -0.2592435399f, -0.1309866321f, +0.0000000000f, +0.1309866321f,
+0.2592435399f, +0.3834386057f, +0.5012752767f, +0.6100062330f, +0.7085021596f, +0.7952493046f, +0.8679010068f, +0.9257026822f,
+0.9681538347f, +0.9936657199f, +1.0019733630f, +0.9936657199f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f,
+0.7085021596f, +0.6100062330f, +0.5012752767f, +0.3834386057f, +0.2592435399f, +0.1309866321f, -0.0000000000f, -0.1309866321f,
-0.2592435399f, -0.3834386057f, -0.5012752767f, -0.6100062330f, -0.7085021596f, -0.7952493046f, -0.8679010068f, -0.9257026822f,
-0.9681538347f, -0.9936657199f, -1.0019733630f, -0.9936657199f, -0.9681538347f, -0.9257026822f, -0.8679010068f, -0.7952493046f,
-0.7085021596f, -0.6100062330f, -0.5012752767f, -0.3834386057f, -0.2592435399f, -0.1309866321f, +0.0000000000f, +0.1309866321f,
+0.2592435399f, +0.3834386057f, +0.5012752767f, +0.6100062330f, +0.7085021596f, +0.7952493046f, +0.8679010068f, +0.9257026822f,
+0.9681538347f, +0.9936657199f, +1.0019733630f, +0.9936657199f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f,
+0.7085021596f, +0.6100062330f, +0.5012752767f, +0.3834386057f, +0.2592435399f, +0.1309866321f, -0.0000000000f, -0.1309866321f,
-0.2592435399f, -0.3834386057f, -0.5012752767f, -0.6100062330f, -0.7085021596f, -0.7952493046f, -0.8679010068f, -0.9257026822f,
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+0.9681538347f, +0.9936657199f, +1.0019733630f, +0.9936657199f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f,
+0.7085021596f, +0.6100062330f, +0.5012752767f, +0.3834386057f, +0.2592435399f, +0.1309866321f, +0.0000000000f, -0.1309866321f,
-0.2592435399f, -0.3834386057f, -0.5012752767f, -0.6100062330f, -0.7085021596f, -0.7952493046f, -0.8679010068f, -0.9257026822f,
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-0.7085021596f, -0.6100062330f, -0.5012752767f, -0.3834386057f, -0.2592435399f, -0.1309866321f, -0.0000000000f, +0.1309866321f,
+0.2592435399f, +0.3834386057f, +0.5012752767f, +0.6100062330f, +0.7085021596f, +0.7952493046f, +0.8679010068f, +0.9257026822f,
+0.9681538347f, +0.9936657199f, +1.0019733630f, +0.9936657199f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f,
+0.7085021596f, +0.6100062330f, +0.5012752767f, +0.3834386057f, +0.2592435399f, +0.1309866321f, +0.0000000000f, -0.1309866321f,
-0.2592435399f, -0.3834386057f, -0.5012752767f, -0.6100062330f, -0.7085021596f, -0.7952493046f, -0.8679010068f, -0.9257026822f,
-0.9681538347f, -0.9936657199f, -1.0019733630f, -0.9936657199f, -0.9681538347f, -0.9257026822f, -0.8679010068f, -0.7952493046f,
-0.7085021596f, -0.6100062330f, -0.5012752767f, -0.3834386057f, -0.2592435399f, -0.1309866321f, +0.0000000000f, +0.1309866321f,
+0.2592435399f, +0.3834386057f, +0.5012752767f, +0.6100062330f, +0.7085021596f, +0.7952493046f, +0.8679010068f, +0.9257026822f,
+0.9681538347f, +0.9936657199f, +1.0019733630f, +0.9936657199f, +0.9681538347f, +0.9257026822f, +0.8679010068f, +0.7952493046f
};

218
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_fir_example/src/arm_fir_example_f32.c
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@ -1,218 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_fir_example_f32.c
*
* Description: Example code demonstrating how an FIR filter can be used
* as a low pass filter.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup FIRLPF FIR Lowpass Filter Example
*
* \par Description:
* \par
* Removes high frequency signal components from the input using an FIR lowpass filter.
* The example demonstrates how to configure an FIR filter and then pass data through
* it in a block-by-block fashion.
* \image html FIRLPF_signalflow.gif
*
* \par Algorithm:
* \par
* The input signal is a sum of two sine waves: 1 kHz and 15 kHz.
* This is processed by an FIR lowpass filter with cutoff frequency 6 kHz.
* The lowpass filter eliminates the 15 kHz signal leaving only the 1 kHz sine wave at the output.
* \par
* The lowpass filter was designed using MATLAB with a sample rate of 48 kHz and
* a length of 29 points.
* The MATLAB code to generate the filter coefficients is shown below:
* <pre>
* h = fir1(28, 6/24);
* </pre>
* The first argument is the "order" of the filter and is always one less than the desired length.
* The second argument is the normalized cutoff frequency. This is in the range 0 (DC) to 1.0 (Nyquist).
* A 6 kHz cutoff with a Nyquist frequency of 24 kHz lies at a normalized frequency of 6/24 = 0.25.
* The CMSIS FIR filter function requires the coefficients to be in time reversed order.
* <pre>
* fliplr(h)
* </pre>
* The resulting filter coefficients and are shown below.
* Note that the filter is symmetric (a property of linear phase FIR filters)
* and the point of symmetry is sample 14. Thus the filter will have a delay of
* 14 samples for all frequencies.
* \par
* \image html FIRLPF_coeffs.gif
* \par
* The frequency response of the filter is shown next.
* The passband gain of the filter is 1.0 and it reaches 0.5 at the cutoff frequency 6 kHz.
* \par
* \image html FIRLPF_response.gif
* \par
* The input signal is shown below.
* The left hand side shows the signal in the time domain while the right hand side is a frequency domain representation.
* The two sine wave components can be clearly seen.
* \par
* \image html FIRLPF_input.gif
* \par
* The output of the filter is shown below. The 15 kHz component has been eliminated.
* \par
* \image html FIRLPF_output.gif
*
* \par Variables Description:
* \par
* \li \c testInput_f32_1kHz_15kHz points to the input data
* \li \c refOutput points to the reference output data
* \li \c testOutput points to the test output data
* \li \c firStateF32 points to state buffer
* \li \c firCoeffs32 points to coefficient buffer
* \li \c blockSize number of samples processed at a time
* \li \c numBlocks number of frames
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_fir_init_f32()
* - arm_fir_f32()
*
* <b> Refer </b>
* \link arm_fir_example_f32.c \endlink
*
*/
/** \example arm_fir_example_f32.c
*/
/* ----------------------------------------------------------------------
** Include Files
** ------------------------------------------------------------------- */
#include "arm_math.h"
#include "math_helper.h"
/* ----------------------------------------------------------------------
** Macro Defines
** ------------------------------------------------------------------- */
#define TEST_LENGTH_SAMPLES 320
#define SNR_THRESHOLD_F32 140.0f
#define BLOCK_SIZE 32
#define NUM_TAPS 29
/* -------------------------------------------------------------------
* The input signal and reference output (computed with MATLAB)
* are defined externally in arm_fir_lpf_data.c.
* ------------------------------------------------------------------- */
extern float32_t testInput_f32_1kHz_15kHz[TEST_LENGTH_SAMPLES];
extern float32_t refOutput[TEST_LENGTH_SAMPLES];
/* -------------------------------------------------------------------
* Declare Test output buffer
* ------------------------------------------------------------------- */
static float32_t testOutput[TEST_LENGTH_SAMPLES];
/* -------------------------------------------------------------------
* Declare State buffer of size (numTaps + blockSize - 1)
* ------------------------------------------------------------------- */
static float32_t firStateF32[BLOCK_SIZE + NUM_TAPS - 1];
/* ----------------------------------------------------------------------
** FIR Coefficients buffer generated using fir1() MATLAB function.
** fir1(28, 6/24)
** ------------------------------------------------------------------- */
const float32_t firCoeffs32[NUM_TAPS] = {
-0.0018225230f, -0.0015879294f, +0.0000000000f, +0.0036977508f, +0.0080754303f, +0.0085302217f, -0.0000000000f, -0.0173976984f,
-0.0341458607f, -0.0333591565f, +0.0000000000f, +0.0676308395f, +0.1522061835f, +0.2229246956f, +0.2504960933f, +0.2229246956f,
+0.1522061835f, +0.0676308395f, +0.0000000000f, -0.0333591565f, -0.0341458607f, -0.0173976984f, -0.0000000000f, +0.0085302217f,
+0.0080754303f, +0.0036977508f, +0.0000000000f, -0.0015879294f, -0.0018225230f
};
/* ------------------------------------------------------------------
* Global variables for FIR LPF Example
* ------------------------------------------------------------------- */
uint32_t blockSize = BLOCK_SIZE;
uint32_t numBlocks = TEST_LENGTH_SAMPLES/BLOCK_SIZE;
float32_t snr;
/* ----------------------------------------------------------------------
* FIR LPF Example
* ------------------------------------------------------------------- */
int32_t main(void)
{
uint32_t i;
arm_fir_instance_f32 S;
arm_status status;
float32_t *inputF32, *outputF32;
/* Initialize input and output buffer pointers */
inputF32 = &testInput_f32_1kHz_15kHz[0];
outputF32 = &testOutput[0];
/* Call FIR init function to initialize the instance structure. */
arm_fir_init_f32(&S, NUM_TAPS, (float32_t *)&firCoeffs32[0], &firStateF32[0], blockSize);
/* ----------------------------------------------------------------------
** Call the FIR process function for every blockSize samples
** ------------------------------------------------------------------- */
for(i=0; i < numBlocks; i++)
{
arm_fir_f32(&S, inputF32 + (i * blockSize), outputF32 + (i * blockSize), blockSize);
}
/* ----------------------------------------------------------------------
** Compare the generated output against the reference output computed
** in MATLAB.
** ------------------------------------------------------------------- */
snr = arm_snr_f32(&refOutput[0], &testOutput[0], TEST_LENGTH_SAMPLES);
if (snr < SNR_THRESHOLD_F32)
{
status = ARM_MATH_TEST_FAILURE;
}
else
{
status = ARM_MATH_SUCCESS;
}
/* ----------------------------------------------------------------------
** Loop here if the signal does not match the reference output.
** ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

14
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_graphic_equalizer_example/arm_graphic_equalizer_example.ini
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@ -1,14 +0,0 @@
/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_geq_5band_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_graphic_equalizer_example/arm_graphic_equalizer_example.uvproj
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<Header>### uVision Project, (C) Keil Software</Header>
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</Target>
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</Project>

94
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_graphic_equalizer_example/src/arm_graphic_equalizer_data.c
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@ -1,94 +0,0 @@
#include "arm_math.h"
float32_t testRefOutput_f32[320] = {
0.000000000000000000, 0.001898396760225296, 0.004215449094772339, 0.007432077080011368, 0.010948467999696732, 0.015026375651359558, 0.019191544502973557, 0.023574527353048325,
0.027919445186853409, 0.032277785241603851, 0.036551639437675476, 0.040732793509960175, 0.044799156486988068, 0.048710610717535019, 0.052476800978183746, 0.056059073656797409,
0.059482168406248093, 0.062726479023694992, 0.065821025520563126, 0.068763464689254761, 0.071577839553356171, 0.074270240962505341, 0.076856281608343124, 0.079344697296619415,
0.081745062023401260, 0.084067162126302719, 0.086318407207727432, 0.088509257882833481, 0.090647127479314804, 0.092742368578910828, 0.094802625477313995, 0.096837285906076431,
0.098853722214698792, 0.100859899073839190, 0.102862443774938580, 0.104867763817310330, 0.106881409883499150, 0.108908228576183320, 0.110952425748109820, 0.113017357885837550,
0.115105822682380680, 0.117219865322113040, 0.119361080229282380, 0.121530555188655850, 0.123729091137647630, 0.125957202166318890, 0.128215309232473370, 0.130503740161657330,
0.132822841405868530, 0.135173004120588300, 0.137554679065942760, 0.139968376606702800, 0.142414685338735580, 0.144894234836101530, 0.147407654672861100, 0.149955596774816510,
0.152538605034351350, 0.155157200992107390, 0.157811731100082400, 0.160502441227436070, 0.163229387253522870, 0.165992442518472670, 0.168791320174932480, 0.171625509858131410,
0.174494370818138120, 0.177397061139345170, 0.180332608520984650, 0.183299910277128220, 0.186297744512557980, 0.189324837177991870, 0.192379791289567950, 0.195461250841617580,
0.198567759245634080, 0.201697919517755510, 0.204850304871797560, 0.208023533225059510, 0.211216274648904800, 0.214427210390567780, 0.217655111104249950, 0.220898788422346120,
0.224157124757766720, 0.227429077029228210, 0.230713658034801480, 0.234009962528944020, 0.237317133694887160, 0.240634419023990630, 0.243961080908775330, 0.247296508401632310,
0.250640105456113820, 0.253991369158029560, 0.257349837571382520, 0.260715119540691380, 0.264086868613958360, 0.267464816570281980, 0.270848698914051060, 0.274238351732492450,
0.277633611112833020, 0.281034380197525020, 0.284440591931343080, 0.287852220237255100, 0.291269283741712570, 0.294691801071166990, 0.298119872808456420, 0.301553562283515930,
0.304993014782667160, 0.308438356965780260, 0.311889752745628360, 0.315347377210855480, 0.318811416625976560, 0.322282072156667710, 0.325759567320346830, 0.329244095832109450,
0.332735907286405560, 0.336235217750072480, 0.339742250740528110, 0.343257248401641850, 0.346780419349670410, 0.350311983376741410, 0.353852160274982450, 0.357401121407747270,
0.360959105193614960, 0.364526227116584780, 0.368102725595235820, 0.371688675135374070, 0.375284302979707720, 0.378889638930559160, 0.382504884153604510, 0.386130042374134060,
0.389765247702598570, 0.393410529941320420, 0.397065933793783190, 0.400731507688760760, 0.404407206922769550, 0.408093083649873730, 0.411789052188396450, 0.415495119988918300,
0.419211201369762420, 0.422937240451574330, 0.426673140376806260, 0.430418811738491060, 0.434174135327339170, 0.437938995659351350, 0.441713258624076840, 0.445496778935194020,
0.449289388954639430, 0.453090950846672060, 0.456901267170906070, 0.460720170289278030, 0.464547459036111830, 0.468382950872182850, 0.472226426005363460, 0.476077698171138760,
0.479936532676219940, 0.483802750706672670, 0.487676106393337250, 0.491556398570537570, 0.495443399995565410, 0.499336875975131990, 0.503236617892980580, 0.507142387330532070,
0.511053957045078280, 0.514971107244491580, 0.518893606960773470, 0.522821225225925450, 0.526753749698400500, 0.530690938234329220, 0.534632585942745210, 0.538578454405069350,
0.542528338730335240, 0.546481993049383160, 0.550439231097698210, 0.554399792104959490, 0.558363504707813260, 0.562330115586519240, 0.566299438476562500, 0.570271246135234830,
0.574245333671569820, 0.578221492469310760, 0.582199502736330030, 0.586179181933403020, 0.590160276740789410, 0.594142623245716090, 0.598125983029603960, 0.602110169827938080,
0.606094967573881150, 0.610080175101757050, 0.614065583795309070, 0.618050977587699890, 0.622036151587963100, 0.626020893454551700, 0.630004994571208950, 0.633988231420516970,
0.637970402836799620, 0.641951277852058410, 0.645930647850036620, 0.649908289313316350, 0.653883971273899080, 0.657857488840818410, 0.661828581243753430, 0.665797054767608640,
0.669762641191482540, 0.673725124448537830, 0.677684243768453600, 0.681639779359102250, 0.685591462999582290, 0.689539063721895220, 0.693482317030429840, 0.697420965880155560,
0.701354760676622390, 0.705283410847187040, 0.709206689149141310, 0.713124278932809830, 0.717035952955484390, 0.720941375941038130, 0.724840316921472550, 0.728732451796531680,
0.732617516070604320, 0.736495196819305420, 0.740365199744701390, 0.744227230548858640, 0.748080968856811520, 0.751926124095916750, 0.755762357264757160, 0.759589381515979770,
0.763406842947006230, 0.767214450985193250, 0.771011855453252790, 0.774798732250928880, 0.778574761003255840, 0.782339565455913540, 0.786092851310968400, 0.789834223687648770,
0.793563373386859890, 0.797279909253120420, 0.800983514636754990, 0.804673787206411360, 0.808350402861833570, 0.812012966722249980, 0.815661124885082240, 0.819294504821300510,
0.822912722826004030, 0.826515413820743560, 0.830102190375328060, 0.833672653883695600, 0.837226435542106630, 0.840763118118047710, 0.844282336533069610, 0.847783654928207400,
0.851266715675592420, 0.854731071740388870, 0.858176350593566890, 0.861602116376161580, 0.865007970482110980, 0.868393491953611370, 0.871758259832859040, 0.875101849436759950,
0.878423850983381270, 0.881723806262016300, 0.885001312941312790, 0.888255912810564040, 0.891487173736095430, 0.894694659858942030, 0.897877920418977740, 0.901036512106657030,
0.904169965535402300, 0.907277844846248630, 0.910359673202037810, 0.913415014743804930, 0.916443370282649990, 0.919444311410188670, 0.922417331486940380, 0.925361987203359600,
0.928277771919965740, 0.931164238601922990, 0.934020876884460450, 0.936847217381000520, 0.939642757177352910, 0.942407000809907910, 0.945139460265636440, 0.947839632630348210,
0.950507018715143200, 0.953141096979379650, 0.955741371959447860, 0.958307322114706040, 0.960838429629802700, 0.963334184139966960, 0.965794049203395840, 0.968217510730028150,
0.970604017376899720, 0.972953058779239650, 0.975264083594083790, 0.977536566555500030, 0.979769956320524220, 0.981963708996772770, 0.984117280691862110, 0.986230112612247470,
0.988301653414964680, 0.990331344306468960, 0.992318630218505860, 0.994262944906950000, 0.996163722127676010, 0.998020399361848830, 0.999832402914762500, 1.001599155366420700,
1.003320086747407900, 1.004994612187147100, 1.006622135639190700, 1.008202098309993700, 1.009733878076076500, 1.011216927319765100, 1.012650609016418500, 1.014034371823072400,
1.015367589890956900, 1.016649682074785200, 1.017880033701658200, 1.019058048725128200, 1.020183108747005500, 1.021254621446132700, 1.022271949797868700, 1.023234523832798000,
};
/* ----------------------------------------------------------------------
** Test input - logarithmic chirp signal
** ------------------------------------------------------------------- */
float32_t testInput_f32[320] =
{
0.000000000000000061, 0.002622410992047861, 0.005253663973466970, 0.007893770384930297, 0.010542741395035495, 0.013200587895525877, 0.015867320496454066, 0.018542949521290073,
0.021227485001971542, 0.023920936673895138, 0.026623313970853074, 0.029334626019908643, 0.032054881636210709, 0.034784089317753723, 0.037522257240071598, 0.040269393250875855,
0.043025504864628375, 0.045790599257054837, 0.048564683259595690, 0.051347763353792118, 0.054139845665610427, 0.056940935959702531, 0.059751039633601337, 0.062570161711849828,
0.065398306840066575, 0.068235479278943648, 0.071081682898178900, 0.073936921170339814, 0.076801197164660218, 0.079674513540768196, 0.082556872542344922, 0.085448275990715375,
0.088348725278367082, 0.091258221362398390, 0.094176764757897533, 0.097104355531246703, 0.100040993293358240, 0.102986677192832010, 0.105941405909045980, 0.108905177645166230,
0.111877990121087980, 0.114859840566297130, 0.117850725712659680, 0.120850641787131110, 0.123859584504392860, 0.126877549059407400, 0.129904530119898690, 0.132940521818751430,
0.135985517746334080, 0.139039510942737950, 0.142102493889940090, 0.145174458503884160, 0.148255396126476810, 0.151345297517508140, 0.154444152846483080, 0.157551951684374300,
0.160668682995289720, 0.163794335128054890, 0.166928895807713030, 0.170072352126936720, 0.173224690537355760, 0.176385896840798810, 0.179555956180445340, 0.182734853031894270,
0.185922571194139130, 0.189119093780459800, 0.192324403209221870, 0.195538481194587030, 0.198761308737133020, 0.201992866114384050, 0.205233132871247170, 0.208482087810360570,
0.211739708982344370, 0.215005973675965020, 0.218280858408200220, 0.221564338914212730, 0.224856390137231970, 0.228156986218334190, 0.231466100486134670, 0.234783705446379690,
0.238109772771442410, 0.241444273289723230, 0.244787176974952890, 0.248138452935395580, 0.251498069402956710, 0.254865993722190930, 0.258242192339209860, 0.261626630790492030,
0.265019273691591620, 0.268420084725748410, 0.271829026632395280, 0.275246061195565440, 0.278671149232197430, 0.282104250580339830, 0.285545324087251580, 0.288994327597401960,
0.292451217940364990, 0.295915950918612280, 0.299388481295203350, 0.302868762781368150, 0.306356748023990040, 0.309852388592980640, 0.313355634968552230, 0.316866436528383590,
0.320384741534681720, 0.323910497121136620, 0.327443649279772870, 0.330984142847692230, 0.334531921493712690, 0.338086927704900790, 0.341649102772995210, 0.345218386780727190,
0.348794718588032520, 0.352378035818156910, 0.355968274843654950, 0.359565370772282730, 0.363169257432780890, 0.366779867360555120, 0.370397131783246010, 0.374020980606193880,
0.377651342397795690, 0.381288144374756830, 0.384931312387234990, 0.388580770903877330, 0.392236442996751310, 0.395898250326170650, 0.399566113125414350, 0.403239950185338420,
0.406919678838884410, 0.410605214945482130, 0.414296472875345100, 0.417993365493664670, 0.421695804144698540, 0.425403698635752780, 0.429116957221065130, 0.432835486585582130,
0.436559191828633180, 0.440287976447505720, 0.444021742320914510, 0.447760389692375140, 0.451503817153472210, 0.455251921627031540, 0.459004598350192470, 0.462761740857380200,
0.466523240963184150, 0.470288988745136360, 0.474058872526396560, 0.477832778858340690, 0.481610592503056990, 0.485392196415748600, 0.489177471727042850, 0.492966297725213780,
0.496758551838309250, 0.500554109616195060, 0.504352844712508190, 0.508154628866524960, 0.511959331884944910, 0.515766821623591440, 0.519576963969030530, 0.523389622820107150,
0.527204660069405030, 0.531021935584629400, 0.534841307189911630, 0.538662630647041900, 0.542485759636628150, 0.546310545739186690, 0.550136838416161340, 0.553964484990880020,
0.557793330629441700, 0.561623218321546380, 0.565453988861259300, 0.569285480827721570, 0.573117530565801950, 0.576949972166696630, 0.580782637448476910, 0.584615355936589420,
0.588447954844309340, 0.592280259053150400, 0.596112091093235260, 0.599943271123626440, 0.603773616912622660, 0.607602943818024150, 0.611431064767369080, 0.615257790238142090,
0.619082928237961740, 0.622906284284749700, 0.626727661386881850, 0.630546860023327600, 0.634363678123782030, 0.638177911048790960, 0.641989351569874020, 0.645797789849653410,
0.649603013421986450, 0.653404807172108140, 0.657202953316791350, 0.660997231384523490, 0.664787418195706640, 0.668573287842887610, 0.672354611671016960, 0.676131158257749170,
0.679902693393781730, 0.683668980063242500, 0.687429778424128110, 0.691184845788802130, 0.694933936604551380, 0.698676802434213370, 0.702413191936877570, 0.706142850848662460,
0.709865521963579990, 0.713580945114492330, 0.717288857154159800, 0.720988991936399870, 0.724681080297347790, 0.728364850036839040, 0.732040025899910680, 0.735706329558433620,
0.739363479592880620, 0.743011191474238440, 0.746649177546067850, 0.750277147006723990, 0.753894805891742180, 0.757501857056394940, 0.761098000158428880, 0.764682931640995540,
0.768256344715771980, 0.771817929346292900, 0.775367372231492210, 0.778904356789468790, 0.782428563141483460, 0.785939668096195860, 0.789437345134148760, 0.792921264392515420,
0.796391092650110770, 0.799846493312681210, 0.803287126398485760, 0.806712648524170680, 0.810122712890953390, 0.813516969271127150, 0.816895063994893090, 0.820256639937531280,
0.823601336506926020, 0.826928789631450890, 0.830238631748229430, 0.833530491791779850, 0.836803995183058700, 0.840058763818912760, 0.843294416061954100, 0.846510566730867220,
0.849706827091166740, 0.852882804846411770, 0.856038104129895340, 0.859172325496819990, 0.862285065916973510, 0.865375918767918860, 0.868444473828712590, 0.871490317274166260,
0.874513031669661770, 0.877512195966544280, 0.880487385498096800, 0.883438171976119850, 0.886364123488128100, 0.889264804495180530, 0.892139775830360640, 0.894988594697921020,
0.897810814673113080, 0.900605985702712770, 0.903373654106265470, 0.906113362578062300, 0.908824650189867690, 0.911507052394417540, 0.914160101029702910, 0.916783324324059180,
0.919376246902079860, 0.921938389791372770, 0.924469270430179120, 0.926968402675872660, 0.929435296814361430, 0.931869459570409790, 0.934270394118903560, 0.936637600097074200,
0.938970573617708970, 0.941268807283364040, 0.943531790201601380, 0.945759008001275100, 0.947949942849885320, 0.950104073472023970, 0.952220875168933280, 0.954299819839202090,
0.956340376000621160, 0.958342008813221960, 0.960304180103520260, 0.962226348389994210, 0.964107968909812760, 0.965948493646846980, 0.967747371360983650, 0.969504047618768740,
0.971217964825405680, 0.972888562258134030, 0.974515276101013520, 0.976097539481141750, 0.977634782506330400, 0.979126432304266880, 0.980571913063189360, 0.981970646074102120,
0.983322049774557390, 0.984625539794035220, 0.985880529000944810, 0.987086427551279730, 0.988242642938953360, 0.989348580047844540, 0.990403641205582440, 0.991407226239099710,
0.992358732531984260, 0.993257555083659870, 0.994103086570423680, 0.994894717408374870, 0.995631835818261310, 0.996313827892278070, 0.996940077662846650, 0.997509967173408010,
};

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@ -1,395 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_graphic_equalizer_example_q31.c
*
* Description: Example showing an audio graphic equalizer constructed
* out of Biquad filters.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup GEQ5Band Graphic Audio Equalizer Example
*
* \par Description:
* \par
* This example demonstrates how a 5-band graphic equalizer can be constructed
* using the Biquad cascade functions.
* A graphic equalizer is used in audio applications to vary the tonal quality
* of the audio.
*
* \par Block Diagram:
* \par
* The design is based on a cascade of 5 filter sections.
* \image html GEQ_signalflow.gif
* Each filter section is 4th order and consists of a cascade of two Biquads.
* Each filter has a nominal gain of 0 dB (1.0 in linear units) and
* boosts or cuts signals within a specific frequency range.
* The edge frequencies between the 5 bands are 100, 500, 2000, and 6000 Hz.
* Each band has an adjustable boost or cut in the range of +/- 9 dB.
* For example, the band that extends from 500 to 2000 Hz has the response shown below:
* \par
* \image html GEQ_bandresponse.gif
* \par
* With 1 dB steps, each filter has a total of 19 different settings.
* The filter coefficients for all possible 19 settings were precomputed
* in MATLAB and stored in a table. With 5 different tables, there are
* a total of 5 x 19 = 95 different 4th order filters.
* All 95 responses are shown below:
* \par
* \image html GEQ_allbandresponse.gif
* \par
* Each 4th order filter has 10 coefficents for a grand total of 950 different filter
* coefficients that must be tabulated. The input and output data is in Q31 format.
* For better noise performance, the two low frequency bands are implemented using the high
* precision 32x64-bit Biquad filters. The remaining 3 high frequency bands use standard
* 32x32-bit Biquad filters. The input signal used in the example is a logarithmic chirp.
* \par
* \image html GEQ_inputchirp.gif
* \par
* The array <code>bandGains</code> specifies the gain in dB to apply in each band.
* For example, if <code>bandGains={0, -3, 6, 4, -6};</code> then the output signal will be:
* \par
* \image html GEQ_outputchirp.gif
* \par
* \note The output chirp signal follows the gain or boost of each band.
* \par
*
* \par Variables Description:
* \par
* \li \c testInput_f32 points to the input data
* \li \c testRefOutput_f32 points to the reference output data
* \li \c testOutput points to the test output data
* \li \c inputQ31 temporary input buffer
* \li \c outputQ31 temporary output buffer
* \li \c biquadStateBand1Q31 points to state buffer for band1
* \li \c biquadStateBand2Q31 points to state buffer for band2
* \li \c biquadStateBand3Q31 points to state buffer for band3
* \li \c biquadStateBand4Q31 points to state buffer for band4
* \li \c biquadStateBand5Q31 points to state buffer for band5
* \li \c coeffTable points to coefficient buffer for all bands
* \li \c gainDB gain buffer which has gains applied for all the bands
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_biquad_cas_df1_32x64_init_q31()
* - arm_biquad_cas_df1_32x64_q31()
* - arm_biquad_cascade_df1_init_q31()
* - arm_biquad_cascade_df1_q31()
* - arm_scale_q31()
* - arm_scale_f32()
* - arm_float_to_q31()
* - arm_q31_to_float()
*
* <b> Refer </b>
* \link arm_graphic_equalizer_example_q31.c \endlink
*
*/
/** \example arm_graphic_equalizer_example_q31.c
*/
#include "arm_math.h"
#include "math_helper.h"
/* Length of the overall data in the test */
#define TESTLENGTH 320
/* Block size for the underlying processing */
#define BLOCKSIZE 32
/* Total number of blocks to run */
#define NUMBLOCKS (TESTLENGTH/BLOCKSIZE)
/* Number of 2nd order Biquad stages per filter */
#define NUMSTAGES 2
#define SNR_THRESHOLD_F32 98
/* -------------------------------------------------------------------
* External Declarations for Input and Output buffers
* ------------------------------------------------------------------- */
extern float32_t testInput_f32[TESTLENGTH];
static float32_t testOutput[TESTLENGTH];
extern float32_t testRefOutput_f32[TESTLENGTH];
/* ----------------------------------------------------------------------
** Q31 state buffers for Band1, Band2, Band3, Band4, Band5
** ------------------------------------------------------------------- */
static q63_t biquadStateBand1Q31[4 * 2];
static q63_t biquadStateBand2Q31[4 * 2];
static q31_t biquadStateBand3Q31[4 * 2];
static q31_t biquadStateBand4Q31[4 * 2];
static q31_t biquadStateBand5Q31[4 * 2];
/* ----------------------------------------------------------------------
** Q31 input and output buffers
** ------------------------------------------------------------------- */
q31_t inputQ31[BLOCKSIZE];
q31_t outputQ31[BLOCKSIZE];
/* ----------------------------------------------------------------------
** Entire coefficient table. There are 10 coefficients per 4th order Biquad
** cascade filter. The first 10 coefficients correspond to the -9 dB gain
** setting of band 1; the next 10 coefficient correspond to the -8 dB gain
** setting of band 1; and so on. There are 10*19=190 coefficients in total
** for band 1 (gains = -9, -8, -7, ..., 9). After this come the 190 coefficients
** for band 2.
**
** The coefficients are in Q29 format and require a postShift of 2.
** ------------------------------------------------------------------- */
const q31_t coeffTable[950] = {
/* Band 1, -9 dB gain */
535576962, -1071153923, 535576962, 1073741824, -536870912, 535576962, -1063501998, 527979313, 1060865294, -524146981,
/* Band 1, -8 dB gain */
535723226, -1071446451, 535723226, 1073741824, -536870912, 535723226, -1063568947, 527903217, 1061230578, -524503778,
535868593, -1071737186, 535868593, 1073741824, -536870912, 535868593, -1063627467, 527819780, 1061585502, -524850686,
536013181, -1072026363, 536013181, 1073741824, -536870912, 536013181, -1063677598, 527728935, 1061930361, -525187972,
536157109, -1072314217, 536157109, 1073741824, -536870912, 536157109, -1063719372, 527630607, 1062265438, -525515897,
536300492, -1072600983, 536300492, 1073741824, -536870912, 536300492, -1063752815, 527524720, 1062591011, -525834716,
536443447, -1072886894, 536443447, 1073741824, -536870912, 536443447, -1063777945, 527411186, 1062907350, -526144676,
536586091, -1073172183, 536586091, 1073741824, -536870912, 536586091, -1063794775, 527289917, 1063214717, -526446017,
536728541, -1073457082, 536728541, 1073741824, -536870912, 536728541, -1063803308, 527160815, 1063513366, -526738975,
536870912, -1073741824, 536870912, 1073741824, -536870912, 536870912, -1063803543, 527023777, 1063803543, -527023777,
537013321, -1074026642, 537013321, 1073741824, -536870912, 537013321, -1063795470, 526878696, 1064085490, -527300648,
537155884, -1074311768, 537155884, 1073741824, -536870912, 537155884, -1063779073, 526725455, 1064359439, -527569803,
537298718, -1074597435, 537298718, 1073741824, -536870912, 537298718, -1063754328, 526563934, 1064625617, -527831454,
537441939, -1074883878, 537441939, 1073741824, -536870912, 537441939, -1063721205, 526394005, 1064884245, -528085806,
537585666, -1075171331, 537585666, 1073741824, -536870912, 537585666, -1063679666, 526215534, 1065135536, -528333059,
537730015, -1075460030, 537730015, 1073741824, -536870912, 537730015, -1063629666, 526028380, 1065379699, -528573409,
537875106, -1075750212, 537875106, 1073741824, -536870912, 537875106, -1063571152, 525832396, 1065616936, -528807045,
538021057, -1076042114, 538021057, 1073741824, -536870912, 538021057, -1063504065, 525627429, 1065847444, -529034151,
538167989, -1076335977, 538167989, 1073741824, -536870912, 538167989, -1063428338, 525413317, 1066071412, -529254907,
/* Band 2, -9 dB gain */
531784976, -1055497692, 523873415, 1066213307, -529420241, 531784976, -1040357886, 509828014, 1028908252, -494627367,
/* Band 2, -8 dB gain */
532357636, -1056601982, 524400080, 1066115844, -529326645, 532357636, -1040623406, 509562600, 1030462237, -496062122,
532927392, -1057707729, 524931110, 1066024274, -529239070, 532927392, -1040848253, 509262081, 1031969246, -497457090,
533494678, -1058816094, 525467240, 1065939047, -529157961, 533494678, -1041032161, 508925950, 1033429976, -498812573,
534059929, -1059928204, 526009170, 1065860582, -529083734, 534059929, -1041174868, 508553717, 1034845124, -500128887,
534623580, -1061045148, 526557561, 1065789260, -529016764, 534623580, -1041276126, 508144920, 1036215393, -501406373,
535186068, -1062167969, 527113032, 1065725420, -528957385, 535186068, -1041335703, 507699125, 1037541500, -502645399,
535747827, -1063297666, 527676151, 1065669351, -528905879, 535747827, -1041353386, 507215934, 1038824183, -503846368,
536309295, -1064435183, 528247436, 1065621289, -528862476, 536309295, -1041328990, 506694984, 1040064203, -505009724,
536870912, -1065581413, 528827349, 1065581413, -528827349, 536870912, -1041262354, 506135953, 1041262354, -506135953,
537433117, -1066737194, 529416295, 1065549847, -528800610, 537433117, -1041153346, 505538564, 1042419457, -507225588,
537996352, -1067903307, 530014622, 1065526651, -528782316, 537996352, -1041001864, 504902578, 1043536370, -508279208,
538561061, -1069080480, 530622620, 1065511830, -528772462, 538561061, -1040807833, 504227800, 1044613981, -509297437,
539127690, -1070269387, 531240527, 1065505333, -528770987, 539127690, -1040571205, 503514074, 1045653211, -510280946,
539696690, -1071470656, 531868525, 1065507054, -528777778, 539696690, -1040291951, 502761277, 1046655011, -511230450,
540268512, -1072684867, 532506750, 1065516837, -528792672, 540268512, -1039970063, 501969320, 1047620358, -512146700,
540843613, -1073912567, 533155297, 1065534483, -528815459, 540843613, -1039605542, 501138139, 1048550251, -513030484,
541422451, -1075154268, 533814224, 1065559750, -528845892, 541422451, -1039198394, 500267687, 1049445708, -513882621,
542005489, -1076410460, 534483561, 1065592362, -528883686, 542005489, -1038748624, 499357932, 1050307760, -514703956,
518903861, -1001986830, 486725277, 1037235801, -502367695, 518903861, -945834422, 446371043, 902366163, -400700571,
520899989, -1005630916, 488289126, 1036926846, -502147311, 520899989, -946490935, 445581846, 907921945, -404936158,
522893209, -1009290002, 489869792, 1036650484, -501961419, 522893209, -947006359, 444685310, 913306106, -409075225,
524884763, -1012968199, 491470256, 1036407567, -501810737, 524884763, -947377809, 443679533, 918521018, -413116221,
526875910, -1016669649, 493093518, 1036198712, -501695739, 526875910, -947602324, 442562672, 923569247, -417057897,
528867927, -1020398503, 494742575, 1036024293, -501616651, 528867927, -947676875, 441332970, 928453558, -420899319,
530862111, -1024158905, 496420407, 1035884447, -501573457, 530862111, -947598385, 439988777, 933176909, -424639872,
532859778, -1027954970, 498129955, 1035779077, -501565907, 532859778, -947363742, 438528571, 937742446, -428279254,
534862260, -1031790763, 499874098, 1035707863, -501593525, 534862260, -946969823, 436950987, 942153486, -431817474,
536870912, -1035670279, 501655630, 1035670279, -501655630, 536870912, -946413508, 435254839, 946413508, -435254839,
538887107, -1039597419, 503477238, 1035665609, -501751354, 538887107, -945691703, 433439146, 950526127, -438591937,
540912240, -1043575967, 505341475, 1035692963, -501879659, 540912240, -944801359, 431503152, 954495080, -441829621,
542947726, -1047609569, 507250741, 1035751307, -502039364, 542947726, -943739490, 429446349, 958324201, -444968987,
544995000, -1051701717, 509207261, 1035839473, -502229165, 544995000, -942503190, 427268492, 962017400, -448011351,
547055523, -1055855728, 511213065, 1035956193, -502447657, 547055523, -941089647, 424969617, 965578640, -450958226,
549130774, -1060074734, 513269973, 1036100110, -502693359, 549130774, -939496155, 422550049, 969011913, -453811298,
551222259, -1064361672, 515379585, 1036269804, -502964731, 551222259, -937720119, 420010407, 972321228, -456572401,
553331507, -1068719280, 517543273, 1036463810, -503260192, 553331507, -935759057, 417351601, 975510582, -459243495,
555460072, -1073150100, 519762181, 1036680633, -503578144, 555460072, -933610600, 414574832, 978583948, -461826644,
494084017, -851422604, 404056273, 930151631, -423619864, 494084017, -673714108, 339502486, 561843007, -265801750,
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/* ----------------------------------------------------------------------
** Desired gains, in dB, per band
** ------------------------------------------------------------------- */
int gainDB[5] = {0, -3, 6, 4, -6};
float32_t snr;
/* ----------------------------------------------------------------------
* Graphic equalizer Example
* ------------------------------------------------------------------- */
int32_t main(void)
{
float32_t *inputF32, *outputF32;
arm_biquad_cas_df1_32x64_ins_q31 S1;
arm_biquad_cas_df1_32x64_ins_q31 S2;
arm_biquad_casd_df1_inst_q31 S3;
arm_biquad_casd_df1_inst_q31 S4;
arm_biquad_casd_df1_inst_q31 S5;
int i;
int32_t status;
inputF32 = &testInput_f32[0];
outputF32 = &testOutput[0];
/* Initialize the state and coefficient buffers for all Biquad sections */
arm_biquad_cas_df1_32x64_init_q31(&S1, NUMSTAGES,
(q31_t *) &coeffTable[190*0 + 10*(gainDB[0] + 9)],
&biquadStateBand1Q31[0], 2);
arm_biquad_cas_df1_32x64_init_q31(&S2, NUMSTAGES,
(q31_t *) &coeffTable[190*1 + 10*(gainDB[1] + 9)],
&biquadStateBand2Q31[0], 2);
arm_biquad_cascade_df1_init_q31(&S3, NUMSTAGES,
(q31_t *) &coeffTable[190*2 + 10*(gainDB[2] + 9)],
&biquadStateBand3Q31[0], 2);
arm_biquad_cascade_df1_init_q31(&S4, NUMSTAGES,
(q31_t *) &coeffTable[190*3 + 10*(gainDB[3] + 9)],
&biquadStateBand4Q31[0], 2);
arm_biquad_cascade_df1_init_q31(&S5, NUMSTAGES,
(q31_t *) &coeffTable[190*4 + 10*(gainDB[4] + 9)],
&biquadStateBand5Q31[0], 2);
/* Call the process functions and needs to change filter coefficients
for varying the gain of each band */
for(i=0; i < NUMBLOCKS; i++)
{
/* ----------------------------------------------------------------------
** Convert block of input data from float to Q31
** ------------------------------------------------------------------- */
arm_float_to_q31(inputF32 + (i*BLOCKSIZE), inputQ31, BLOCKSIZE);
/* ----------------------------------------------------------------------
** Scale down by 1/8. This provides additional headroom so that the
** graphic EQ can apply gain.
** ------------------------------------------------------------------- */
arm_scale_q31(inputQ31, 0x7FFFFFFF, -3, inputQ31, BLOCKSIZE);
/* ----------------------------------------------------------------------
** Call the Q31 Biquad Cascade DF1 32x64 process function for band1, band2
** ------------------------------------------------------------------- */
arm_biquad_cas_df1_32x64_q31(&S1, inputQ31, outputQ31, BLOCKSIZE);
arm_biquad_cas_df1_32x64_q31(&S2, outputQ31, outputQ31, BLOCKSIZE);
/* ----------------------------------------------------------------------
** Call the Q31 Biquad Cascade DF1 process function for band3, band4, band5
** ------------------------------------------------------------------- */
arm_biquad_cascade_df1_q31(&S3, outputQ31, outputQ31, BLOCKSIZE);
arm_biquad_cascade_df1_q31(&S4, outputQ31, outputQ31, BLOCKSIZE);
arm_biquad_cascade_df1_q31(&S5, outputQ31, outputQ31, BLOCKSIZE);
/* ----------------------------------------------------------------------
** Convert Q31 result back to float
** ------------------------------------------------------------------- */
arm_q31_to_float(outputQ31, outputF32 + (i * BLOCKSIZE), BLOCKSIZE);
/* ----------------------------------------------------------------------
** Scale back up
** ------------------------------------------------------------------- */
arm_scale_f32(outputF32 + (i * BLOCKSIZE), 8.0f, outputF32 + (i * BLOCKSIZE), BLOCKSIZE);
};
snr = arm_snr_f32(testRefOutput_f32, testOutput, TESTLENGTH);
if (snr < SNR_THRESHOLD_F32)
{
status = ARM_MATH_TEST_FAILURE;
}
else
{
status = ARM_MATH_SUCCESS;
}
/* ----------------------------------------------------------------------
** Loop here if the signal does not match the reference output.
** ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

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@ -1,14 +0,0 @@
/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_linear_interp_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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434
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_linear_interp_example/arm_linear_interp_example.uvproj
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@ -1,434 +0,0 @@
<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
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</SimDlls>
<TargetDlls>
<CpuDll></CpuDll>
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_linear_interp_example/src/Copy of arm_linear_interp_f32.c
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@ -1,463 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 26. Aug 2010
* $Revision: V0.0.9
*
* Project: Zephyr
* Title: arm_linear_interp_f32.c
* Author(s): KK
* Revised by:
*
* Description: Example code demonstrating usage of sin function
* and uses linear interpolation to get higher precision
*
*
* References:
*
* Target Processor: Cortex-M4
* Target Tools Revision: MDK uVision V4.00o
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup LinearInterpExample Linear Interpolate Example
*
* <b> Zephyr Library Linear Interpolate Example </b>
*
* First Calculate sine values using cubic interpolation and then linear interpoltion
* to get higher precision
*
* <b> Zephyr Functions Used </b>
* arm_sin_f32, arm_linear_interp_f32
*
* <b> Description </b>
* First Calculate sine values using cubic interpolation and then linear interpoltion
* to get higher precision
*
* <b> Refer </b>
* \link arm_linear_interp_f32.c
*
*/
/** \example arm_linear_interp_f32.c
*/
/** \link */
#include "arm_math.h"
#include "math_helper.h"
#define SNR_THRESHOLD 90
#define TEST_LENGTH_SAMPLES 100
/* ----------------------------------------------------------------------
* Test input data for sin_cos F32, Q31 Generated by the
* MATLAB rand() function in the range of -180 to 179 degrees
* --------------------------------------------------------------------*/
float32_t testInput_f32[TEST_LENGTH_SAMPLES] =
{
-19.465416518769931000, -74.951297020714364000, 5.639953791367380700, 12.945438916134698000, -51.591210780665868000, 53.591195953934943000, 53.512389074344640000, -1.693497446699294000,
14.728156263389437000, 7.858761426941603300, -8.401885995664772000, 32.660574673198624000, -26.474244435638489000, 98.243361818869545000, -6.137814738896806500, 5.126909108436432700,
48.004569511163496000, 2.667665723562240700, -4.304178246765106400, -37.455725864251015000, 13.248486737668816000, -60.128183607201180000, 32.144604831852845000, 73.060292900082189000,
-31.129906576602902000, 38.609850277271818000, 56.430063972113956000, -71.717830940136452000, -64.843399435545905000, 25.701643064618008000, -17.994850997191342000, 31.049881895895531000,
36.703002999426445000, 32.035874557540197000, 58.061238971961465000, 30.087022755691816000, 53.587713340951609000, -54.110570164827479000, -0.890530099594670220, -7.052278447439130500,
-72.183850290052135000, 11.578690560487043000, -47.541281763666710000, 63.681366864255239000, -36.229068188859593000, 23.793435493300120000, 9.869430270043006100, -41.485573095999264000,
-97.680352243736806000, -2.663452103453602900, -45.478516791341136000, 27.650837200296642000, 22.848335340389347000, 76.159344158573461000, 26.607716411587916000, -28.961784120713677000,
17.115176327125955000, -45.410198595335324000, -0.877980128863018240, -2.169935511539052200, 0.001943632873149526, -14.303675306145955000, 49.275168245437158000, -84.329561593843238000,
19.268247287032327000, 40.303731204528830000, 32.893080229325399000, 26.003580584885931000, 1.814131422829813100, 30.469013441878712000, 25.600509234032536000, -11.504043703438416000,
-16.986102998506258000, -13.314919950160068000, -66.381052763486679000, -10.530182144521486000, 5.330017667435458700, 14.166406952777512000, 64.957870995741928000, -15.793863224748380000,
28.045523301232237000, 35.957187816650020000, 42.340047332750117000, -44.644128099470784000, 9.541581847427494300, 10.704693279401042000, -45.349352625522059000, -33.392013846012176000,
48.703272891990011000, -5.917486632537308100, 17.544622035916753000, 3.959419796090685800, -28.595935146569229000, -25.180798598830847000, 19.964407027665033000, -42.745670934644046000,
35.153172804527614000, 25.603229057547324000, -36.977143126331505000, -11.952308309964708000
};
/*------------------------------------------------------------------------------
* Reference out of F32 sin & cos output for SIN_COS Module with Block Size = 300
*------------------------------------------------------------------------------*/
float32_t testRefOutput32_f32[2*TEST_LENGTH_SAMPLES] =
{
-0.333237824190935950, 0.942842803721007820, -0.965705474086925530, 0.259640014863938890, 0.098276873131171796, 0.995159111000627710, 0.224023088564911880, 0.974583837229941800,
-0.783598163528961720, 0.621267992185368100, 0.804802603350386110, 0.593542559249495730, 0.803985460437475980, 0.594648954766709090, -0.029552802881316703, 0.999563220532777570,
0.254233248161875150, 0.967142934384086940, 0.136731592422420860, 0.990608132226678760, -0.146115592196457200, 0.989267523836236400, 0.539661147574512780, 0.841882323011096330,
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0.743198188297227610, 0.669071336190483200, 0.046542730140767506, 0.998916299932603780, -0.075051445518127535, 0.997179663112740980, -0.608148199836544220, 0.793823511264040830,
0.229174682523673430, 0.973385311626476900, -0.867141848541994500, 0.498061255778014410, 0.532057903834495470, 0.846707970298640090, 0.956611891979700090, 0.291365214332491460,
-0.516980202695697330, 0.855997353979973230, 0.624013946309263550, 0.781413203632712940, 0.833211499046846440, 0.552954426563443850, -0.949523148821079350, 0.313696971379869070,
-0.905149304940980780, 0.425093796431869010, 0.433684924493513650, 0.901064584958844890, -0.308931524481638130, 0.951084282901074500, 0.515784132327432480, 0.856718582055529860,
0.597667169002062740, 0.801744320277393510, 0.530450147955215390, 0.847716132047922070, 0.848614000856354080, 0.529012549520870850, 0.501314771271737620, 0.865264988373368400,
0.804766524528853890, 0.593591476520468290, -0.810149803083192290, 0.586222906891452730, -0.015542056546419188, 0.999879214944639160, -0.122774922462590140, 0.992434541123143780,
-0.952043189926617960, 0.305963665349906650, 0.200713583736860770, 0.979649966724598140, -0.737763909965450160, 0.675058821994417800, 0.896342291988333040, 0.443362713354542080,
-0.591014991291254010, 0.806660573022506710, 0.403440464710986050, 0.915005896939349530, 0.171403478200279900, 0.985200917407635270, -0.662431442426691610, 0.749122542768866920,
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0.388293142209411300, 0.921535911244451670, 0.970964777276470790, 0.239222493274469370, 0.447879505598888560, 0.894093925974500330, -0.484226147296217320, 0.874942877149509690,
0.294293482382983140, 0.955715096787163270, -0.712151017299339720, 0.702026301900089410, -0.015323044321591962, 0.999882595264423250, -0.037863466280923866, 0.999282921860067290,
0.000033922793079950, 0.999999999424622030, -0.247061170884917000, 0.968999885366852780, 0.757851648246485540, 0.652426914872528130, -0.995106681257627580, 0.098806340466745052,
0.329991297513742620, 0.943983974209942070, 0.646839444476510090, 0.762626207961226490, 0.543073042762871940, 0.839685459100177440, 0.438427314265245950, 0.898766649418058510,
0.031657276274742796, 0.999498782820101630, 0.507072304663452660, 0.861903520031850560, 0.432093764101541660, 0.901828686073226080, -0.199437093026770570, 0.979910631601183970,
-0.292139745905651280, 0.956375642131365390, -0.230303147358009550, 0.973118934312242720, -0.916230287372644450, 0.400652044174295340, -0.182753457037788390, 0.983158773515619530,
0.092892242015230150, 0.995676167924784640, 0.244738948943198060, 0.969589009256075830, 0.905996795154595410, 0.423284546339223300, -0.272177185260248640, 0.962247151112336830,
0.470172944197104090, 0.882574304262834790, 0.587180579792218600, 0.809455969596168940, 0.673529320002908660, 0.739160506991830220, -0.702701233357562740, 0.711485050185708510,
0.165763349389780660, 0.986165560136370580, 0.185747103699765100, 0.982597584704516080, -0.711405090256715830, 0.702782183579545580, -0.550364369734323230, 0.834924583736124660,
0.751301833382328810, 0.659958752617427980, -0.103096114611431640, 0.994671398579463850, 0.301448464375417170, 0.953482471430756260, 0.069049923419193845, 0.997613205644253380,
-0.478629568167083070, 0.878016934048650110, -0.425476035077883510, 0.904969692075046070, 0.341436326633237750, 0.939904907347121510, -0.678745260797874890, 0.734373795110109250,
0.575764280402292440, 0.817615737013929090, 0.432136573310053560, 0.901808173620002540, -0.601496377444140970, 0.798875527176527990, -0.207097431303776860, 0.978320322771318860,
};
float32_t arm_linear_interep_Sintable[720] = {
-0.008726535498374403, -0.017452406437283439, -0.026176948307873423, -0.034899496702500699, -0.043619387365336069, -0.052335956242943807, -0.061048539534857192, -0.069756473744125524,
-0.078459095727845068, -0.087155742747658638, -0.095845752520223912, -0.104528463267653730, -0.113203213767906890, -0.121869343405147550, -0.130526192220051570, -0.139173100960065740,
-0.147809411129610380, -0.156434465040230980, -0.165047605860678100, -0.173648177666930280, -0.182235525492147720, -0.190808995376544970, -0.199367934417197690, -0.207911690817759310,
-0.216439613938103180, -0.224951054343864780, -0.233445363855905530, -0.241921895599667730, -0.250380004054441330, -0.258819045102521020, -0.267238376078257010, -0.275637355816999660,
-0.284015344703922590, -0.292371704722737050, -0.300705799504273340, -0.309016994374947510, -0.317304656405092140, -0.325568154457156980, -0.333806859233771180, -0.342020143325668880,
-0.350207381259467540, -0.358367949545300210, -0.366501226724297140, -0.374606593415912240, -0.382683432365089890, -0.390731128489274160, -0.398749068925246530, -0.406736643075800430,
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-0.477158760259608630, -0.484809620246337170, -0.492423560103467160, -0.499999999999999940, -0.507538362960704430, -0.515038074910054380, -0.522498564715948910, -0.529919264233204900,
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};
float32_t arm_linear_interep_Costable[720] = {
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};
/* ----------------------------------------------------------------------
* Test input data for F32 SIN function
* Generated by the MATLAB rand() function
* --------------------------------------------------------------------*/
float32_t testInputSinCos_f32[TEST_LENGTH_SAMPLES] =
{
0.649716504673081170, 2.501723745497831200, 0.188250329003310100, 0.432092748487532540, 1.722010988459680800, 1.788766476323060600, 1.786136060975809500, 0.056525543169408797,
0.491596272728153760, 0.262309671126153390
};
/*------------------------------------------------------------------------------
* Reference out of SIN F32 function for Block Size = 32
* Caluclated from sin(in)
*------------------------------------------------------------------------------*/
float32_t testRefSinOutput32_f32[TEST_LENGTH_SAMPLES] =
{
0.604960695383043530, 0.597090287967934840, 0.187140422442966500, 0.418772124875992690, 0.988588831792106880, 0.976338412038794010, 0.976903856413481100, 0.056495446835214236,
0.472033731854734240, 0.259311907228582830
};
/*------------------------------------------------------------------------------
* Method 1: Test out Buffer Caluclated from Cubic Interpolation
*------------------------------------------------------------------------------*/
float32_t testOutput[2 * TEST_LENGTH_SAMPLES];
/*------------------------------------------------------------------------------
* Method 2: Test out Caluclated from Cubic Interpolation and Linear interpolation
*------------------------------------------------------------------------------*/
float32_t testLinIntOutput[2*TEST_LENGTH_SAMPLES];
/* ----------------------------------------------------------------------
* Global Variables for caluclating SNR's for Method1 & Method 2
* ------------------------------------------------------------------- */
float32_t snr1;
float32_t snr2;
float32_t sinVal, cosVal, sinValTest;
uint32_t blockSize = 100;
/* ----------------------------------------------------------------------------
* Caluclation of Sine values from Cubic Interpolation and Linear interpolation
* ---------------------------------------------------------------------------- */
int32_t main(void)
{
uint32_t i, temp;
arm_status status;
float32_t xSpacing = 3.141592653589793e-004;
float32_t x0, x, y0, y1;
float32_t firstVal = -3.14159265358979;
float32_t fract, theta;
uint32_t index;
/* Static Initialisations of Structere */
arm_linear_interp_instance_f32 S_Sin = {&arm_linear_interep_Sintable[0]};
arm_linear_interp_instance_f32 S_Cos = {&arm_linear_interep_Costable[0]};
x0 = -179.5;
xSpacing = 0.5;
/*------------------------------------------------------------------------------
* Method 1: Test out Caluclated from Linear Interpolation
*------------------------------------------------------------------------------*/
for(i=0; i< blockSize; i++)
{
arm_sin_cos_f32(testInput_f32[i], &sinVal, &cosVal);
testOutput[2 * i] = sinVal;
testOutput[2 * i + 1] = cosVal;
}
/*------------------------------------------------------------------------------
* Method 2: Test out Caluclated from Linear interpolation
*------------------------------------------------------------------------------*/
for(i=0; i< TEST_LENGTH_SAMPLES; i++)
{
index = (uint32_t)((testInput_f32[i] - x0) / xSpacing);
theta = testInput_f32[i];
if(theta > 0)
{
fract = testInput_f32[i] - (x0 + index * xSpacing);
}
else
{
fract = - theta + (x0 + index * xSpacing);
fract = fract * 2;
}
//fract = testInput_f32[i] - (x0 + index * xSpacing);
testLinIntOutput[2 * i] = arm_linear_interp_f32(&S_Sin, fract, index);
testLinIntOutput[2 * i + 1] = arm_linear_interp_f32(&S_Cos, fract, index);
}
// for(i=0; i< TEST_LENGTH_SAMPLES; i++)
// {
// testOutput[i] = arm_sin_f32(testInputSinCos_f32[i]);
// }
/*------------------------------------------------------------------------------
* Method 2: Test out Caluclated from Cubic Interpolation and Linear interpolation
*------------------------------------------------------------------------------*/
// for(i=0; i< TEST_LENGTH_SAMPLES; i++)
// {
// x = testInputSinCos_f32[i];
// temp = x/xSpacing;
//
// x0 = temp * xSpacing;
// y0 = arm_sin_f32(temp * xSpacing);
// y1 = arm_sin_f32((temp + 1) * xSpacing);
//
// sinVal = arm_sin_f32(testInputSinCos_f32[i]);
////
//// testLinIntOutput[i] = y0 + (x - x0) * (y1-y0)/xSpacing;
//
//
//
// index = (uint32_t)((testInputSinCos_f32[i] - firstVal) / xSpacing);
// //index += 1;
//// sinVal = arm_linear_interep_table[index+1];
//// sinVal = arm_linear_interep_table[index+2];
// fract = testInputSinCos_f32[i] - (firstVal + (index) * xSpacing);
// //sinValTest = arm_linear_interp_f32(&S, fract, index);
// testLinIntOutput[i] = arm_linear_interp_f32(&S, fract, index);
// }
/*------------------------------------------------------------------------------
* SNR Caluclation for method 1
*------------------------------------------------------------------------------*/
snr1 = arm_snr_f32(testRefOutput32_f32, testOutput, 2*TEST_LENGTH_SAMPLES);
/*------------------------------------------------------------------------------
* SNR Caluclation for method 2
*------------------------------------------------------------------------------*/
snr2 = arm_snr_f32(testRefOutput32_f32, testLinIntOutput, 2*1);
/*------------------------------------------------------------------------------
* Initialise status depending on SNR caluclations
*------------------------------------------------------------------------------*/
if( snr2 > snr1)
{
status = ARM_SUCCESS;
}
else
{
status = ARM_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
** Loop here if the signals fail the PASS check.
** This denotes a test failure
** ------------------------------------------------------------------- */
if( status != ARM_SUCCESS)
{
while(1);
}
}
/** \endlink */

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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_linear_interp_example/src/arm_linear_interp_data.c
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hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_linear_interp_example/src/arm_linear_interp_example_f32.c
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@ -1,180 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_linear_interp_example_f32.c
*
* Description: Example code demonstrating usage of sin function
* and uses linear interpolation to get higher precision
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup LinearInterpExample Linear Interpolate Example
*
* <b> CMSIS DSP Software Library -- Linear Interpolate Example </b>
*
* <b> Description </b>
* This example demonstrates usage of linear interpolate modules and fast math modules.
* Method 1 uses fast math sine function to calculate sine values using cubic interpolation and method 2 uses
* linear interpolation function and results are compared to reference output.
* Example shows linear interpolation function can be used to get higher precision compared to fast math sin calculation.
*
* \par Block Diagram:
* \par
* \image html linearInterpExampleMethod1.gif "Method 1: Sine caluclation using fast math"
* \par
* \image html linearInterpExampleMethod2.gif "Method 2: Sine caluclation using interpolation function"
*
* \par Variables Description:
* \par
* \li \c testInputSin_f32 points to the input values for sine calculation
* \li \c testRefSinOutput32_f32 points to the reference values caculated from sin() matlab function
* \li \c testOutput points to output buffer calculation from cubic interpolation
* \li \c testLinIntOutput points to output buffer calculation from linear interpolation
* \li \c snr1 Signal to noise ratio for reference and cubic interpolation output
* \li \c snr2 Signal to noise ratio for reference and linear interpolation output
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_sin_f32()
* - arm_linear_interp_f32()
*
* <b> Refer </b>
* \link arm_linear_interp_example_f32.c \endlink
*
*/
/** \example arm_linear_interp_example_f32.c
*/
#include "arm_math.h"
#include "math_helper.h"
#define SNR_THRESHOLD 90
#define TEST_LENGTH_SAMPLES 10
#define XSPACING (0.00005f)
/* ----------------------------------------------------------------------
* Test input data for F32 SIN function
* Generated by the MATLAB rand() function
* randn('state', 0)
* xi = (((1/4.18318581819710)* randn(blockSize, 1) * 2* pi));
* --------------------------------------------------------------------*/
float32_t testInputSin_f32[TEST_LENGTH_SAMPLES] =
{
-0.649716504673081170, -2.501723745497831200, 0.188250329003310100, 0.432092748487532540, -1.722010988459680800, 1.788766476323060600, 1.786136060975809500, -0.056525543169408797,
0.491596272728153760, 0.262309671126153390
};
/*------------------------------------------------------------------------------
* Reference out of SIN F32 function for Block Size = 10
* Calculated from sin(testInputSin_f32)
*------------------------------------------------------------------------------*/
float32_t testRefSinOutput32_f32[TEST_LENGTH_SAMPLES] =
{
-0.604960695383043530, -0.597090287967934840, 0.187140422442966500, 0.418772124875992690, -0.988588831792106880, 0.976338412038794010, 0.976903856413481100, -0.056495446835214236,
0.472033731854734240, 0.259311907228582830
};
/*------------------------------------------------------------------------------
* Method 1: Test out Buffer Calculated from Cubic Interpolation
*------------------------------------------------------------------------------*/
float32_t testOutput[TEST_LENGTH_SAMPLES];
/*------------------------------------------------------------------------------
* Method 2: Test out buffer Calculated from Linear Interpolation
*------------------------------------------------------------------------------*/
float32_t testLinIntOutput[TEST_LENGTH_SAMPLES];
/*------------------------------------------------------------------------------
* External table used for linear interpolation
*------------------------------------------------------------------------------*/
extern float32_t arm_linear_interep_table[188495];
/* ----------------------------------------------------------------------
* Global Variables for caluclating SNR's for Method1 & Method 2
* ------------------------------------------------------------------- */
float32_t snr1;
float32_t snr2;
/* ----------------------------------------------------------------------------
* Calculation of Sine values from Cubic Interpolation and Linear interpolation
* ---------------------------------------------------------------------------- */
int32_t main(void)
{
uint32_t i;
arm_status status;
arm_linear_interp_instance_f32 S = {188495, -3.141592653589793238, XSPACING, &arm_linear_interep_table[0]};
/*------------------------------------------------------------------------------
* Method 1: Test out Calculated from Cubic Interpolation
*------------------------------------------------------------------------------*/
for(i=0; i< TEST_LENGTH_SAMPLES; i++)
{
testOutput[i] = arm_sin_f32(testInputSin_f32[i]);
}
/*------------------------------------------------------------------------------
* Method 2: Test out Calculated from Cubic Interpolation and Linear interpolation
*------------------------------------------------------------------------------*/
for(i=0; i< TEST_LENGTH_SAMPLES; i++)
{
testLinIntOutput[i] = arm_linear_interp_f32(&S, testInputSin_f32[i]);
}
/*------------------------------------------------------------------------------
* SNR calculation for method 1
*------------------------------------------------------------------------------*/
snr1 = arm_snr_f32(testRefSinOutput32_f32, testOutput, 2);
/*------------------------------------------------------------------------------
* SNR calculation for method 2
*------------------------------------------------------------------------------*/
snr2 = arm_snr_f32(testRefSinOutput32_f32, testLinIntOutput, 2);
/*------------------------------------------------------------------------------
* Initialise status depending on SNR calculations
*------------------------------------------------------------------------------*/
if( snr2 > snr1)
{
status = ARM_MATH_SUCCESS;
}
else
{
status = ARM_MATH_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
** Loop here if the signals fail the PASS check.
** This denotes a test failure
** ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_matrix_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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@ -1,216 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_matrix_example_f32.c
*
* Description: Example code demonstrating least square fit to data
* using matrix functions
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup MatrixExample Matrix Example
*
* \par Description:
* \par
* Demonstrates the use of Matrix Transpose, Matrix Muliplication, and Matrix Inverse
* functions to apply least squares fitting to input data. Least squares fitting is
* the procedure for finding the best-fitting curve that minimizes the sum of the
* squares of the offsets (least square error) from a given set of data.
*
* \par Algorithm:
* \par
* The linear combination of parameters considered is as follows:
* \par
* <code>A * X = B</code>, where \c X is the unknown value and can be estimated
* from \c A & \c B.
* \par
* The least squares estimate \c X is given by the following equation:
* \par
* <code>X = Inverse(A<sup>T</sup> * A) * A<sup>T</sup> * B</code>
*
* \par Block Diagram:
* \par
* \image html matrixExample.gif
*
* \par Variables Description:
* \par
* \li \c A_f32 input matrix in the linear combination equation
* \li \c B_f32 output matrix in the linear combination equation
* \li \c X_f32 unknown matrix estimated using \c A_f32 & \c B_f32 matrices
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_mat_init_f32()
* - arm_mat_trans_f32()
* - arm_mat_mult_f32()
* - arm_mat_inverse_f32()
*
* <b> Refer </b>
* \link arm_matrix_example_f32.c \endlink
*
*/
/** \example arm_matrix_example_f32.c
*/
#include "arm_math.h"
#include "math_helper.h"
#define SNR_THRESHOLD 90
/* --------------------------------------------------------------------------------
* Test input data(Cycles) taken from FIR Q15 module for differant cases of blockSize
* and tapSize
* --------------------------------------------------------------------------------- */
const float32_t B_f32[4] =
{
782.0, 7577.0, 470.0, 4505.0
};
/* --------------------------------------------------------------------------------
* Formula to fit is C1 + C2 * numTaps + C3 * blockSize + C4 * numTaps * blockSize
* -------------------------------------------------------------------------------- */
const float32_t A_f32[16] =
{
/* Const, numTaps, blockSize, numTaps*blockSize */
1.0, 32.0, 4.0, 128.0,
1.0, 32.0, 64.0, 2048.0,
1.0, 16.0, 4.0, 64.0,
1.0, 16.0, 64.0, 1024.0,
};
/* ----------------------------------------------------------------------
* Temporary buffers for storing intermediate values
* ------------------------------------------------------------------- */
/* Transpose of A Buffer */
float32_t AT_f32[16];
/* (Transpose of A * A) Buffer */
float32_t ATMA_f32[16];
/* Inverse(Transpose of A * A) Buffer */
float32_t ATMAI_f32[16];
/* Test Output Buffer */
float32_t X_f32[4];
/* ----------------------------------------------------------------------
* Reference ouput buffer C1, C2, C3 and C4 taken from MATLAB
* ------------------------------------------------------------------- */
const float32_t xRef_f32[4] = {73.0, 8.0, 21.25, 2.875};
float32_t snr;
/* ----------------------------------------------------------------------
* Max magnitude FFT Bin test
* ------------------------------------------------------------------- */
int32_t main(void)
{
arm_matrix_instance_f32 A; /* Matrix A Instance */
arm_matrix_instance_f32 AT; /* Matrix AT(A transpose) instance */
arm_matrix_instance_f32 ATMA; /* Matrix ATMA( AT multiply with A) instance */
arm_matrix_instance_f32 ATMAI; /* Matrix ATMAI(Inverse of ATMA) instance */
arm_matrix_instance_f32 B; /* Matrix B instance */
arm_matrix_instance_f32 X; /* Matrix X(Unknown Matrix) instance */
uint32_t srcRows, srcColumns; /* Temporary variables */
arm_status status;
/* Initialise A Matrix Instance with numRows, numCols and data array(A_f32) */
srcRows = 4;
srcColumns = 4;
arm_mat_init_f32(&A, srcRows, srcColumns, (float32_t *)A_f32);
/* Initialise Matrix Instance AT with numRows, numCols and data array(AT_f32) */
srcRows = 4;
srcColumns = 4;
arm_mat_init_f32(&AT, srcRows, srcColumns, AT_f32);
/* calculation of A transpose */
status = arm_mat_trans_f32(&A, &AT);
/* Initialise ATMA Matrix Instance with numRows, numCols and data array(ATMA_f32) */
srcRows = 4;
srcColumns = 4;
arm_mat_init_f32(&ATMA, srcRows, srcColumns, ATMA_f32);
/* calculation of AT Multiply with A */
status = arm_mat_mult_f32(&AT, &A, &ATMA);
/* Initialise ATMAI Matrix Instance with numRows, numCols and data array(ATMAI_f32) */
srcRows = 4;
srcColumns = 4;
arm_mat_init_f32(&ATMAI, srcRows, srcColumns, ATMAI_f32);
/* calculation of Inverse((Transpose(A) * A) */
status = arm_mat_inverse_f32(&ATMA, &ATMAI);
/* calculation of (Inverse((Transpose(A) * A)) * Transpose(A)) */
status = arm_mat_mult_f32(&ATMAI, &AT, &ATMA);
/* Initialise B Matrix Instance with numRows, numCols and data array(B_f32) */
srcRows = 4;
srcColumns = 1;
arm_mat_init_f32(&B, srcRows, srcColumns, (float32_t *)B_f32);
/* Initialise X Matrix Instance with numRows, numCols and data array(X_f32) */
srcRows = 4;
srcColumns = 1;
arm_mat_init_f32(&X, srcRows, srcColumns, X_f32);
/* calculation ((Inverse((Transpose(A) * A)) * Transpose(A)) * B) */
status = arm_mat_mult_f32(&ATMA, &B, &X);
/* Comparison of reference with test output */
snr = arm_snr_f32((float32_t *)xRef_f32, X_f32, 4);
/*------------------------------------------------------------------------------
* Initialise status depending on SNR calculations
*------------------------------------------------------------------------------*/
if( snr > SNR_THRESHOLD)
{
status = ARM_MATH_SUCCESS;
}
else
{
status = ARM_MATH_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
** Loop here if the signals fail the PASS check.
** This denotes a test failure
** ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

14
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@ -1,14 +0,0 @@
/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_signal_converge_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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229
hardware/sam/system/CMSIS/DSP_Lib/Examples/arm_signal_converge_example/src/arm_signal_converge_data.c
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@ -1,229 +0,0 @@
#include "arm_math.h"
/* ----------------------------------------------------------------------
** Test input data for Floating point LMS Norm FIR filter
** Generated by the MATLAB randn() function
** ------------------------------------------------------------------- */
float32_t testInput_f32[1536] =
{
-0.432565, -1.665584, 0.125332, 0.287676, -1.146471, 1.190915, 1.189164, -0.037633,
0.327292, 0.174639, -0.186709, 0.725791, -0.588317, 2.183186, -0.136396, 0.113931,
1.066768, 0.059281, -0.095648, -0.832349, 0.294411, -1.336182, 0.714325, 1.623562,
-0.691776, 0.857997, 1.254001, -1.593730, -1.440964, 0.571148, -0.399886, 0.689997,
0.815622, 0.711908, 1.290250, 0.668601, 1.190838, -1.202457, -0.019790, -0.156717,
-1.604086, 0.257304, -1.056473, 1.415141, -0.805090, 0.528743, 0.219321, -0.921902,
-2.170674, -0.059188, -1.010634, 0.614463, 0.507741, 1.692430, 0.591283, -0.643595,
0.380337, -1.009116, -0.019511, -0.048221, 0.000043, -0.317859, 1.095004, -1.873990,
0.428183, 0.895638, 0.730957, 0.577857, 0.040314, 0.677089, 0.568900, -0.255645,
-0.377469, -0.295887, -1.475135, -0.234004, 0.118445, 0.314809, 1.443508, -0.350975,
0.623234, 0.799049, 0.940890, -0.992092, 0.212035, 0.237882, -1.007763, -0.742045,
1.082295, -0.131500, 0.389880, 0.087987, -0.635465, -0.559573, 0.443653, -0.949904,
0.781182, 0.568961, -0.821714, -0.265607, -1.187777, -2.202321, 0.986337, -0.518635,
0.327368, 0.234057, 0.021466, -1.003944, -0.947146, -0.374429, -1.185886, -1.055903,
1.472480, 0.055744, -1.217317, -0.041227, -1.128344, -1.349278, -0.261102, 0.953465,
0.128644, 0.656468, -1.167819, -0.460605, -0.262440, -1.213152, -1.319437, 0.931218,
0.011245, -0.645146, 0.805729, 0.231626, -0.989760, 1.339586, 0.289502, 1.478917,
1.138028, -0.684139, -1.291936, -0.072926, -0.330599, -0.843628, 0.497770, 1.488490,
-0.546476, -0.846758, -0.246337, 0.663024, -0.854197, -1.201315, -0.119869, -0.065294,
0.485296, -0.595491, -0.149668, -0.434752, -0.079330, 1.535152, -0.606483, -1.347363,
0.469383, -0.903567, 0.035880, -0.627531, 0.535398, 0.552884, -0.203690, -2.054325,
0.132561, 1.592941, 1.018412, -1.580402, -0.078662, -0.681657, -1.024553, -1.234353,
0.288807, -0.429303, 0.055801, -0.367874, -0.464973, 0.370961, 0.728283, 2.112160,
-1.357298, -1.022610, 1.037834, -0.389800, -1.381266, 0.315543, 1.553243, 0.707894,
1.957385, 0.504542, 1.864529, -0.339812, -1.139779, -0.211123, 1.190245, -1.116209,
0.635274, -0.601412, 0.551185, -1.099840, 0.085991, -2.004563, -0.493088, 0.462048,
-0.321005, 1.236556, -0.631280, -2.325211, -1.231637, 1.055648, -0.113224, 0.379224,
0.944200, -2.120427, -0.644679, -0.704302, -1.018137, -0.182082, 1.521013, -0.038439,
1.227448, -0.696205, 0.007524, -0.782893, 0.586939, -0.251207, 0.480136, 0.668155,
-0.078321, 0.889173, 2.309287, 0.524639, -0.011787, 0.913141, 0.055941, -1.107070,
0.485498, -0.005005, -0.276218, 1.276452, 1.863401, -0.522559, 0.103424, -0.807649,
0.680439, -2.364590, 0.990115, 0.218899, 0.261662, 1.213444, -0.274667, -0.133134,
-1.270500, -1.663606, -0.703554, 0.280880, -0.541209, -1.333531, 1.072686, -0.712085,
-0.011286, -0.000817, -0.249436, 0.396575, -0.264013, -1.664011, -1.028975, 0.243095,
-1.256590, -0.347183, -0.941372, -1.174560, -1.021142, -0.401667, 0.173666, -0.116118,
1.064119, -0.245386, -1.517539, 0.009734, 0.071373, 0.316536, 0.499826, 1.278084,
-0.547816, 0.260808, -0.013177, -0.580264, 2.136308, -0.257617, -1.409528, 1.770101,
0.325546, -1.119040, 0.620350, 1.269782, -0.896043, 0.135175, -0.139040, -1.163395,
1.183720, -0.015430, 0.536219, -0.716429, -0.655559, 0.314363, 0.106814, 1.848216,
-0.275106, 2.212554, 1.508526, -1.945079, -1.680543, -0.573534, -0.185817, 0.008934,
0.836950, -0.722271, -0.721490, -0.201181, -0.020464, 0.278890, 1.058295, 0.621673,
-1.750615, 0.697348, 0.811486, 0.636345, 1.310080, 0.327098, -0.672993, -0.149327,
-2.449018, 0.473286, 0.116946, -0.591104, -0.654708, -1.080662, -0.047731, 0.379345,
-0.330361, -0.499898, -0.035979, -0.174760, -0.957265, 1.292548, 0.440910, 1.280941,
-0.497730, -1.118717, 0.807650, 0.041200, -0.756209, -0.089129, -2.008850, 1.083918,
-0.981191, -0.688489, 1.339479, -0.909243, -0.412858, -0.506163, 1.619748, 0.080901,
-1.081056, -1.124518, 1.735676, 1.937459, 1.635068, -1.255940, -0.213538, -0.198932,
0.307499, -0.572325, -0.977648, -0.446809, 1.082092, 2.372648, 0.229288, -0.266623,
0.701672, -0.487590, 1.862480, 1.106851, -1.227566, -0.669885, 1.340929, 0.388083,
0.393059, -1.707334, 0.227859, 0.685633, -0.636790, -1.002606, -0.185621, -1.054033,
-0.071539, 0.279198, 1.373275, 0.179841, -0.542017, 1.634191, 0.825215, 0.230761,
0.671634, -0.508078, 0.856352, 0.268503, 0.624975, -1.047338, 1.535670, 0.434426,
-1.917136, 0.469940, 1.274351, 0.638542, 1.380782, 1.319843, -0.909429, -2.305605,
1.788730, 0.390798, 0.020324, -0.405977, -1.534895, 0.221373, -1.374479, -0.839286,
-0.208643, 0.755913, 0.375734, -1.345413, 1.481876, 0.032736, 1.870453, -1.208991,
-0.782632, -0.767299, -0.107200, -0.977057, -0.963988, -2.379172, -0.838188, 0.257346,
-0.183834, -0.167615, -0.116989, 0.168488, -0.501206, -0.705076, 0.508165, -0.420922,
0.229133, -0.959497, -0.146043, 0.744538, -0.890496, 0.139062, -0.236144, -0.075459,
-0.358572, -2.077635, -0.143546, 1.393341, 0.651804, -0.377134, -0.661443, 0.248958,
-0.383516, -0.528480, 0.055388, 1.253769, -2.520004, 0.584856, -1.008064, 0.944285,
-2.423957, -0.223831, 0.058070, -0.424614, -0.202918, -1.513077, -1.126352, -0.815002,
0.366614, -0.586107, 1.537409, 0.140072, -1.862767, -0.454193, -0.652074, 0.103318,
-0.220632, -0.279043, -0.733662, -0.064534, -1.444004, 0.612340, -1.323503, -0.661577,
-0.146115, 0.248085, -0.076633, 1.738170, 1.621972, 0.626436, 0.091814, -0.807607,
-0.461337, -1.405969, -0.374530, -0.470911, 1.751296, 0.753225, 0.064989, -0.292764,
0.082823, 0.766191, 2.236850, 0.326887, 0.863304, 0.679387, 0.554758, 1.001630,
1.259365, 0.044151, -0.314138, 0.226708, 0.996692, 1.215912, -0.542702, 0.912228,
-0.172141, -0.335955, 0.541487, 0.932111, -0.570253, -1.498605, -0.050346, 0.553025,
0.083498, 1.577524, -0.330774, 0.795155, -0.784800, -1.263121, 0.666655, -1.392632,
-1.300562, -0.605022, -1.488565, 0.558543, -0.277354, -1.293685, -0.888435, -0.986520,
-0.071618, -2.414591, -0.694349, -1.391389, 0.329648, 0.598544, 0.147175, -0.101439,
-2.634981, 0.028053, -0.876310, -0.265477, -0.327578, -1.158247, 0.580053, 0.239756,
-0.350885, 0.892098, 1.578299, -1.108174, -0.025931, -1.110628, 0.750834, 0.500167,
-0.517261, -0.559209, -0.753371, 0.925813, -0.248520, -0.149835, -1.258415, 0.312620,
2.690277, 0.289696, -1.422803, 0.246786, -1.435773, 0.148573, -1.693073, 0.719188,
1.141773, 1.551936, 1.383630, -0.758092, 0.442663, 0.911098, -1.074086, 0.201762,
0.762863, -1.288187, -0.952962, 0.778175, -0.006331, 0.524487, 1.364272, 0.482039,
-0.787066, 0.751999, -0.166888, -0.816228, 2.094065, 0.080153, -0.937295, 0.635739,
1.682028, 0.593634, 0.790153, 0.105254, -0.158579, 0.870907, -0.194759, 0.075474,
-0.526635, -0.685484, -0.268388, -1.188346, 0.248579, 0.102452, -0.041007, -2.247582,
-0.510776, 0.249243, 0.369197, 0.179197, -0.037283, -1.603310, 0.339372, -0.131135,
0.485190, 0.598751, -0.086031, 0.325292, -0.335143, -0.322449, -0.382374, -0.953371,
0.233576, 1.235245, -0.578532, -0.501537, 0.722864, 0.039498, 1.541279, -1.701053,
-1.033741, -0.763708, 2.176426, 0.431612, -0.443765, 0.029996, -0.315671, 0.977846,
0.018295, 0.817963, 0.702341, -0.231271, -0.113690, 0.127941, -0.799410, -0.238612,
-0.089463, -1.023264, 0.937538, -1.131719, -0.710702, -1.169501, 1.065437, -0.680394,
-1.725773, 0.813200, 1.441867, 0.672272, 0.138665, -0.859534, -0.752251, 1.229615,
1.150754, -0.608025, 0.806158, 0.217133, -0.373461, -0.832030, 0.286866, -1.818892,
-1.573051, 2.015666, -0.071982, 2.628909, -0.243317, 0.173276, 0.923207, -0.178553,
-0.521705, 1.431962, -0.870117, 0.807542, -0.510635, 0.743514, 0.847898, -0.829901,
0.532994, 1.032848, -1.052024, 0.362114, -0.036787, -1.227636, -0.275099, -0.160435,
-1.083575, -1.954213, -0.909487, -0.005579, -1.723490, 1.263077, -0.600433, -2.063925,
0.110911, 1.487614, 0.053002, 0.161981, -0.026878, 0.173576, 0.882168, 0.182294,
0.755295, 0.508035, 0.131880, 0.280104, -0.982848, -0.944087, -0.013058, 0.354345,
-0.894709, 0.812111, 0.109537, 2.731644, 0.411079, -1.306862, 0.383806, 0.499504,
-0.510786, 0.234922, -0.597825, 0.020771, 0.419443, 1.191104, 0.771214, -2.644222,
0.285430, 0.826093, -0.008122, 0.858438, 0.774788, 1.305945, 1.231503, 0.958564,
-1.654548, -0.990396, 0.685236, -0.974870, -0.606726, 0.686794, 0.020049, 1.063801,
-1.341050, 0.479510, -1.633974, -1.442665, 0.293781, -0.140364, -1.130341, -0.292538,
-0.582536, -0.896348, 0.248601, -1.489663, 0.313509, -2.025084, 0.528990, 0.343471,
0.758193, -0.691940, 0.680179, -1.072541, 0.899772, -2.123092, 0.284712, -0.733323,
-0.773376, 0.151842, -0.336843, 0.970761, -0.107236, 1.013492, -0.475347, 0.068948,
0.398592, 1.116326, 0.620451, -0.287674, -1.371773, -0.685868, 0.331685, -0.997722,
0.291418, 1.107078, 0.244959, 0.164976, 0.406231, 1.215981, 1.448424, -1.025137,
0.205418, 0.588882, -0.264024, 2.495318, 0.855948, -0.850954, 0.811879, 0.700242,
0.759938, -1.712909, 1.537021, -1.609847, 1.109526, -1.109704, 0.385469, 0.965231,
0.818297, 0.037049, -0.926012, -0.111919, -0.803030, -1.665006, -0.901401, 0.588350,
0.554159, -0.415173, 0.061795, 0.457432, 0.199014, 0.257558, 2.080730, -2.277237,
0.339022, 0.289894, 0.662261, -0.580860, 0.887752, 0.171871, 0.848821, 0.963769,
1.321918, -0.064345, 1.317053, 0.228017, -1.429637, -0.149701, -0.504968, -1.729141,
-0.417472, -0.614969, 0.720777, 0.339364, 0.882845, 0.284245, -0.145541, -0.089646,
0.289161, 1.164831, 0.805729, -1.355643, 0.120893, -0.222178, 0.571732, -0.300140,
1.134277, -0.179356, -1.467067, 1.395346, 0.440836, 0.565384, -0.693623, 0.833869,
-2.237378, 1.097644, -0.001617, -1.614573, -1.228727, 0.207405, 0.220942, -1.006073,
-0.453067, 1.399453, -0.461964, 0.032716, 0.798783, 0.896816, 0.137892, -1.619146,
-1.646606, 0.428707, -0.737231, 0.564926, -1.384167, 0.460268, 0.629384, 0.379847,
-1.013330, -0.347243, 0.441912, -1.590240, -0.701417, -1.077601, 1.002220, 1.729481,
0.709032, -0.747897, 0.228862, -0.223497, -0.853275, 0.345627, 0.109764, -1.133039,
-0.683124, -0.277856, 0.654790, -1.248394, -0.597539, -0.481813, 0.983372, 1.762121,
1.427402, 0.911763, 0.326823, 0.069619, -1.499763, -0.418223, -0.021037, 0.228425,
-1.008196, -0.664622, 0.558177, -1.188542, -0.775481, 0.271042, 1.534976, -1.052283,
0.625559, -0.797626, -0.313522, -0.602210, 1.259060, 0.858484, -2.105292, -0.360937,
0.553557, -1.556384, -0.206666, -0.425568, 0.493778, -0.870908, 0.079828, -0.521619,
-1.413861, -0.384293, -0.457922, -0.291471, -0.301224, -1.588594, 1.094287, 1.324167,
-0.126480, -0.737164, 0.213719, -0.400529, 0.064938, -1.757996, 1.686748, 0.327400,
0.715967, 1.598648, -2.064741, -0.743632, 0.176185, 0.527839, -0.553153, 0.298280,
-1.226607, -0.189676, -0.301713, 0.956956, -0.533366, -0.901082, -0.892552, 0.278717,
-0.745807, 1.603464, 0.574270, 0.320655, -0.151383, 0.315762, 1.343703, -2.237832,
1.292906, -0.378459, 0.002521, 0.884641, 0.582450, -1.614244, -1.503666, 0.573586,
-0.910537, -1.631277, -0.359138, -0.397616, -1.161307, -1.109838, 0.290672, -1.910239,
1.314768, 0.665319, -0.275115, -0.023022, -0.907976, -1.043657, 0.373516, 0.901532,
1.278539, -0.128456, 0.612821, 1.956518, 2.266326, -0.373959, 2.238039, -0.159580,
-0.703281, 0.563477, -0.050296, 1.163593, 0.658808, -1.550089, -3.029118, 0.540578,
-1.008998, 0.908047, 1.582303, -0.979088, 1.007902, 0.158491, -0.586927, 1.574082,
-0.516649, 1.227800, 1.583876, -2.088950, 2.949545, 1.356125, 1.050068, -0.767170,
-0.257653, -1.371845, -1.267656, -0.894948, 0.589089, 1.842629, 1.347967, -0.491253,
-2.177568, 0.237000, -0.735411, -1.779419, 0.448030, 0.581214, 0.856607, -0.266263,
-0.417470, -0.205806, -0.174323, 0.217577, 1.684295, 0.119528, 0.650667, 2.080061,
-0.339225, 0.730113, 0.293969, -0.849109, -2.533858, -2.378941, -0.346276, -0.610937,
-0.408192, -1.415611, 0.227122, 0.207974, -0.719718, 0.757762, -1.643135, -1.056813,
-0.251662, -1.298441, 1.233255, 1.494625, 0.235938, -1.404359, 0.658791, -2.556613,
-0.534945, 3.202525, 0.439198, -1.149901, 0.886765, -0.283386, 1.035336, -0.364878,
1.341987, 1.008872, 0.213874, -0.299264, 0.255849, -0.190826, -0.079060, 0.699851,
-0.796540, -0.801284, -0.007599, -0.726810, -1.490902, 0.870335, -0.265675, -1.566695,
-0.394636, -0.143855, -2.334247, -1.357539, -1.815689, 1.108422, -0.142115, 1.112757,
0.559264, 0.478370, -0.679385, 0.284967, -1.332935, -0.723980, -0.663600, 0.198443,
-1.794868, -1.387673, 0.197768, 1.469328, 0.366493, -0.442775, -0.048563, 0.077709,
1.957910, -0.072848, 0.938810, -0.079608, -0.800959, 0.309424, 1.051826, -1.664211,
-1.090792, -0.191731, 0.463401, -0.924147, -0.649657, 0.622893, -1.335107, 1.047689,
0.863327, -0.642411, 0.660010, 1.294116, 0.314579, 0.859573, 0.128670, 0.016568,
-0.072801, -0.994310, -0.747358, -0.030814, 0.988355, -0.599017, 1.476644, -0.813801,
0.645040, -1.309919, -0.867425, -0.474233, 0.222417, 1.871323, 0.110001, -0.411341,
0.511242, -1.199117, -0.096361, 0.445817, -0.295825, -0.167996, 0.179543, 0.421118,
1.677678, 1.996949, 0.696964, -1.366382, 0.363045, -0.567044, -1.044154, 0.697139,
0.484026, -0.193751, -0.378095, -0.886374, -1.840197, -1.628195, -1.173789, -0.415411,
0.175088, 0.229433, -1.240889, 0.700004, 0.426877, 1.454803, -0.510186, -0.006657,
-0.525496, 0.717698, 1.088374, 0.500552, 2.771790, -0.160309, 0.429489, -1.966817,
-0.546019, -1.888395, -0.107952, -1.316144, -0.672632, -0.902365, -0.154798, 0.947242,
1.550375, 0.429040, -0.560795, 0.179304, -0.771509, -0.943390, -1.407569, -1.906131,
-0.065293, 0.672149, 0.206147, -0.008124, 0.020042, -0.558447, 1.886079, -0.219975,
-1.414395, -0.302811, -0.569574, -0.121495, -0.390171, -0.844287, -1.737757, -0.449520,
-1.547933, -0.095776, 0.907714, 2.369602, 0.519768, 0.410525, 1.052585, 0.428784,
1.295088, -0.186053, 0.130733, -0.657627, -0.759267, -0.595170, 0.812400, 0.069541,
-1.833687, 1.827363, 0.654075, -1.544769, -0.375109, 0.207688, -0.765615, -0.106355,
0.338769, 1.033461, -1.404822, -1.030570, -0.643372, 0.170787, 1.344839, 1.936273,
0.741336, 0.811980, -0.142808, -0.099858, -0.800131, 0.493249, 1.237574, 1.295951,
-0.278196, 0.217127, 0.630728, -0.548549, 0.229632, 0.355311, 0.521284, -0.615971,
1.345803, 0.974922, -2.377934, -1.092319, -0.325710, -2.012228, 1.567660, 0.233337,
0.646420, -1.129412, 0.197038, 1.696870, 0.726034, 0.792526, 0.603357, -0.058405,
-1.108666, 2.144229, -1.352821, 0.457021, 0.391175, 2.073013, -0.323318, 1.468132,
-0.502399, 0.209593, 0.754800, -0.948189, 0.613157, 1.760503, 0.088762, 2.595570,
-0.675470, 2.786804, -0.016827, 0.271651, -0.914102, -1.951371, -0.317418, 0.588333,
0.828996, -1.674851, -1.922293, -0.436662, 0.044974, 2.416609, -0.309892, 0.187583,
0.947699, -0.525703, -1.115605, -1.592320, 1.174844, 0.485144, 1.645480, -0.454233,
1.008768, 2.049403, 0.602020, 0.017860, -1.610426, 1.238752, 0.683587, -0.780716,
0.530979, 2.134498, 0.354361, 0.231700, 1.287980, -0.013488, -1.333345, -0.556343,
0.755597, -0.911854, 1.371684, 0.245580, 0.118845, 0.384690, -0.070152, -0.578309,
0.469308, 1.299687, 1.634798, -0.702809, 0.807253, -1.027451, 1.294496, 0.014930,
0.218705, 1.713188, -2.078805, 0.112917, -1.086491, -1.558311, 0.637406, -0.404576,
-0.403325, 0.084076, -0.435349, -0.562623, 0.878062, -0.814650, -0.258363, 0.493299,
-0.802694, -0.008329, 0.627571, 0.154382, 2.580735, -1.306246, 1.023526, 0.777795,
-0.833884, -0.586663, 0.065664, -0.012342, -0.076987, -1.558587, 1.702607, -0.468984,
0.094619, 0.287071, 0.919354, 0.510136, 0.245440, -1.400519, 0.969571, 1.593698,
-1.437917, -1.534230, -0.074710, 0.081459, -0.843240, -0.564640, -0.028207, -1.243702,
0.733039, 0.059580, 0.149144, 1.595857, -0.777250, 1.550277, 1.055002, -0.166654,
0.314484, 1.419571, 0.327348, 0.475653, 0.398754, -0.072770, 1.314784, 0.978279,
1.722114, -0.412302, 0.565133, 0.739851, 0.220138, 1.312807, 0.629152, -1.107987,
-0.447001, -0.725993, 0.354045, -0.506772, -2.103747, -0.664684, 1.450110, -0.329805,
2.701872, -1.634939, -0.536325, 0.547223, 1.492603, -0.455243, -0.496416, 1.235260,
0.040926, 0.748467, 1.230764, 0.304903, 1.077771, 0.765151, -1.319580, -0.509191,
0.555116, -1.957625, -0.760453, -2.443886, -0.659366, -0.114779, 0.300079, -0.583996,
-3.073745, 1.551042, -0.407369, 1.428095, -1.353242, 0.903970, 0.541671, -0.465020
};
/* ----------------------------------------------------------------------
** Coefficients for 32-tap filter for Floating point LMS FIR filter
* FIR high pass filter with cutoff freq 9.6kHz (transition 9.6KHz to 11.52KHz)
** ------------------------------------------------------------------- */
float32_t lmsNormCoeff_f32[32] = {
-0.004240, 0.002301, 0.008860, -0.000000, -0.019782, -0.010543, 0.032881, 0.034736,
-0.037374, -0.069586, 0.022397, 0.102169, 0.014185, -0.115908, -0.061648, 0.101018,
0.101018, -0.061648, -0.115908, 0.014185, 0.102169, 0.022397, -0.069586, -0.037374,
0.034736, 0.032881, -0.010543, -0.019782, -0.000000, 0.008860, 0.002301, -0.004240
};
/* ----------------------------------------------------------------------
** Coefficients for 32-tap filter for Floating point FIR filter
* FIR low pass filter with cutoff freq 24Hz (transition 24Hz to 240Hz)
** ------------------------------------------------------------------- */
const float32_t FIRCoeff_f32[32] = {
0.004502, 0.005074, 0.006707, 0.009356, 0.012933, 0.017303, 0.022298, 0.027717,
0.033338, 0.038930, 0.044258, 0.049098, 0.053243, 0.056519, 0.058784, 0.059941,
0.059941, 0.058784, 0.056519, 0.053243, 0.049098, 0.044258, 0.038930, 0.033338,
0.027717, 0.022298, 0.017303, 0.012933, 0.009356, 0.006707, 0.005074, 0.004502
};

244
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@ -1,244 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_signal_converge_example_f32.c
*
* Description: Example code demonstrating convergence of an adaptive
* filter.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup SignalConvergence Signal Convergence Example
*
* \par Description:
* \par
* Demonstrates the ability of an adaptive filter to "learn" the transfer function of
* a FIR lowpass filter using the Normalized LMS Filter, Finite Impulse
* Response (FIR) Filter, and Basic Math Functions.
*
* \par Algorithm:
* \par
* The figure below illustrates the signal flow in this example. Uniformly distributed white
* noise is passed through an FIR lowpass filter. The output of the FIR filter serves as the
* reference input of the adaptive filter (normalized LMS filter). The white noise is input
* to the adaptive filter. The adaptive filter learns the transfer function of the FIR filter.
* The filter outputs two signals: (1) the output of the internal adaptive FIR filter, and
* (2) the error signal which is the difference between the adaptive filter and the reference
* output of the FIR filter. Over time as the adaptive filter learns the transfer function
* of the FIR filter, the first output approaches the reference output of the FIR filter,
* and the error signal approaches zero.
* \par
* The adaptive filter converges properly even if the input signal has a large dynamic
* range (i.e., varies from small to large values). The coefficients of the adaptive filter
* are initially zero, and then converge over 1536 samples. The internal function test_signal_converge()
* implements the stopping condition. The function checks if all of the values of the error signal have a
* magnitude below a threshold DELTA.
*
* \par Block Diagram:
* \par
* \image html SignalFlow.gif
*
*
* \par Variables Description:
* \par
* \li \c testInput_f32 points to the input data
* \li \c firStateF32 points to FIR state buffer
* \li \c lmsStateF32 points to Normalised Least mean square FIR filter state buffer
* \li \c FIRCoeff_f32 points to coefficient buffer
* \li \c lmsNormCoeff_f32 points to Normalised Least mean square FIR filter coefficient buffer
* \li \c wire1, wir2, wire3 temporary buffers
* \li \c errOutput, err_signal temporary error buffers
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_lms_norm_init_f32()
* - arm_fir_init_f32()
* - arm_fir_f32()
* - arm_lms_norm_f32()
* - arm_scale_f32()
* - arm_abs_f32()
* - arm_sub_f32()
* - arm_min_f32()
* - arm_copy_f32()
*
* <b> Refer </b>
* \link arm_signal_converge_example_f32.c \endlink
*
*/
/** \example arm_signal_converge_example_f32.c
*/
#include "arm_math.h"
#include "math_helper.h"
/* ----------------------------------------------------------------------
** Global defines for the simulation
* ------------------------------------------------------------------- */
#define TEST_LENGTH_SAMPLES 1536
#define NUMTAPS 32
#define BLOCKSIZE 32
#define DELTA_ERROR 0.000001f
#define DELTA_COEFF 0.0001f
#define MU 0.5f
#define NUMFRAMES (TEST_LENGTH_SAMPLES / BLOCKSIZE)
/* ----------------------------------------------------------------------
* Declare FIR state buffers and structure
* ------------------------------------------------------------------- */
float32_t firStateF32[NUMTAPS + BLOCKSIZE];
arm_fir_instance_f32 LPF_instance;
/* ----------------------------------------------------------------------
* Declare LMSNorm state buffers and structure
* ------------------------------------------------------------------- */
float32_t lmsStateF32[NUMTAPS + BLOCKSIZE];
float32_t errOutput[TEST_LENGTH_SAMPLES];
arm_lms_norm_instance_f32 lmsNorm_instance;
/* ----------------------------------------------------------------------
* Function Declarations for Signal Convergence Example
* ------------------------------------------------------------------- */
arm_status test_signal_converge_example( void );
/* ----------------------------------------------------------------------
* Internal functions
* ------------------------------------------------------------------- */
arm_status test_signal_converge(float32_t* err_signal,
uint32_t blockSize);
void getinput(float32_t* input,
uint32_t fr_cnt,
uint32_t blockSize);
/* ----------------------------------------------------------------------
* External Declarations for FIR F32 module Test
* ------------------------------------------------------------------- */
extern float32_t testInput_f32[TEST_LENGTH_SAMPLES];
extern float32_t lmsNormCoeff_f32[32];
extern const float32_t FIRCoeff_f32[32];
extern arm_lms_norm_instance_f32 lmsNorm_instance;
/* ----------------------------------------------------------------------
* Declare I/O buffers
* ------------------------------------------------------------------- */
float32_t wire1[BLOCKSIZE];
float32_t wire2[BLOCKSIZE];
float32_t wire3[BLOCKSIZE];
float32_t err_signal[BLOCKSIZE];
/* ----------------------------------------------------------------------
* Signal converge test
* ------------------------------------------------------------------- */
int32_t main(void)
{
uint32_t i;
arm_status status;
uint32_t index;
float32_t minValue;
/* Initialize the LMSNorm data structure */
arm_lms_norm_init_f32(&lmsNorm_instance, NUMTAPS, lmsNormCoeff_f32, lmsStateF32, MU, BLOCKSIZE);
/* Initialize the FIR data structure */
arm_fir_init_f32(&LPF_instance, NUMTAPS, (float32_t *)FIRCoeff_f32, firStateF32, BLOCKSIZE);
/* ----------------------------------------------------------------------
* Loop over the frames of data and execute each of the processing
* functions in the system.
* ------------------------------------------------------------------- */
for(i=0; i < NUMFRAMES; i++)
{
/* Read the input data - uniformly distributed random noise - into wire1 */
arm_copy_f32(testInput_f32 + (i * BLOCKSIZE), wire1, BLOCKSIZE);
/* Execute the FIR processing function. Input wire1 and output wire2 */
arm_fir_f32(&LPF_instance, wire1, wire2, BLOCKSIZE);
/* Execute the LMS Norm processing function*/
arm_lms_norm_f32(&lmsNorm_instance, /* LMSNorm instance */
wire1, /* Input signal */
wire2, /* Reference Signal */
wire3, /* Converged Signal */
err_signal, /* Error Signal, this will become small as the signal converges */
BLOCKSIZE); /* BlockSize */
/* apply overall gain */
arm_scale_f32(wire3, 5, wire3, BLOCKSIZE); /* in-place buffer */
}
status = ARM_MATH_SUCCESS;
/* -------------------------------------------------------------------------------
* Test whether the error signal has reached towards 0.
* ----------------------------------------------------------------------------- */
arm_abs_f32(err_signal, err_signal, BLOCKSIZE);
arm_min_f32(err_signal, BLOCKSIZE, &minValue, &index);
if (minValue > DELTA_ERROR)
{
status = ARM_MATH_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
* Test whether the filter coefficients have converged.
* ------------------------------------------------------------------- */
arm_sub_f32((float32_t *)FIRCoeff_f32, lmsNormCoeff_f32, lmsNormCoeff_f32, NUMTAPS);
arm_abs_f32(lmsNormCoeff_f32, lmsNormCoeff_f32, NUMTAPS);
arm_min_f32(lmsNormCoeff_f32, NUMTAPS, &minValue, &index);
if (minValue > DELTA_COEFF)
{
status = ARM_MATH_TEST_FAILURE;
}
/* ----------------------------------------------------------------------
* Loop here if the signals did not pass the convergence check.
* This denotes a test failure
* ------------------------------------------------------------------- */
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_sin_cos_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_sin_cos_example_f32.c
*
* Description: Example code demonstrating sin and cos calculation of input signal.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup SinCosExample SineCosine Example
*
* \par Description:
* \par
* Demonstrates the Pythagorean trignometric identity with the use of Cosine, Sine, Vector
* Multiplication, and Vector Addition functions.
*
* \par Algorithm:
* \par
* Mathematically, the Pythagorean trignometric identity is defined by the following equation:
* <pre>sin(x) * sin(x) + cos(x) * cos(x) = 1</pre>
* where \c x is the angle in radians.
*
* \par Block Diagram:
* \par
* \image html sinCos.gif
*
* \par Variables Description:
* \par
* \li \c testInput_f32 array of input angle in radians
* \li \c testOutput stores sum of the squares of sine and cosine values of input angle
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_cos_f32()
* - arm_sin_f32()
* - arm_mult_f32()
* - arm_add_f32()
*
* <b> Refer </b>
* \link arm_sin_cos_example_f32.c \endlink
*
*/
/** \example arm_sin_cos_example_f32.c
*/
#include <math.h>
#include "arm_math.h"
/* ----------------------------------------------------------------------
* Defines each of the tests performed
* ------------------------------------------------------------------- */
#define MAX_BLOCKSIZE 32
#define DELTA (0.000001f)
/* ----------------------------------------------------------------------
* Test input data for Floating point sin_cos example for 32-blockSize
* Generated by the MATLAB randn() function
* ------------------------------------------------------------------- */
const float32_t testInput_f32[MAX_BLOCKSIZE] =
{
-1.244916875853235400, -4.793533929171324800, 0.360705030233248850, 0.827929644170887320, -3.299532218312426900, 3.427441903227623800, 3.422401784294607700, -0.108308165334010680,
0.941943896490312180, 0.502609575000365850, -0.537345278736373500, 2.088817392965764500, -1.693168684143455700, 6.283185307179590700, -0.392545884746175080, 0.327893095115825040,
3.070147440456292300, 0.170611405884662230, -0.275275082396073010, -2.395492805446796300, 0.847311163536506600, -3.845517018083148800, 2.055818378415868300, 4.672594161978930800,
-1.990923030266425800, 2.469305197656249500, 3.609002606064021000, -4.586736582331667500, -4.147080139136136300, 1.643756718868359500, -1.150866392366494800, 1.985805026477433800
};
const float32_t testRefOutput_f32 = 1.000000000;
/* ----------------------------------------------------------------------
* Declare Global variables
* ------------------------------------------------------------------- */
uint32_t blockSize = 32;
float32_t testOutput;
float32_t cosOutput;
float32_t sinOutput;
float32_t cosSquareOutput;
float32_t sinSquareOutput;
/* ----------------------------------------------------------------------
* Max magnitude FFT Bin test
* ------------------------------------------------------------------- */
int32_t main(void)
{
arm_status status;
float32_t diff;
uint32_t i;
for(i=0; i< blockSize; i++)
{
cosOutput = arm_cos_f32(testInput_f32[i]);
sinOutput = arm_sin_f32(testInput_f32[i]);
arm_mult_f32(&cosOutput, &cosOutput, &cosSquareOutput, 1);
arm_mult_f32(&sinOutput, &sinOutput, &sinSquareOutput, 1);
arm_add_f32(&cosSquareOutput, &sinSquareOutput, &testOutput, 1);
/* absolute value of difference between ref and test */
diff = fabsf(testRefOutput_f32 - testOutput);
/* Comparison of sin_cos value with reference */
if(diff > DELTA)
{
status = ARM_MATH_TEST_FAILURE;
}
if( status == ARM_MATH_TEST_FAILURE)
{
while(1);
}
}
}
/** \endlink */

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/* This file demonstrates how to Map memory ranges, specify read, write, and execute permissions
The file can be executed in the following way:
1) manually from uVision command window (in debug mode) using command:
INCLUIDE arm_variance_example.ini
*/
// usual initialisation for target setup
MAP 0x20000000, 0x20008000 READ WRITE // allow R/W access to IO space

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_variance_example_f32.c
*
* Description: Example code demonstrating variance calculation of input sequence.
*
* Target Processor: Cortex-M4/Cortex-M3
*
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.1 2010/10/05 KK
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20 KK
* Production release and review comments incorporated.
* ------------------------------------------------------------------- */
/**
* @ingroup groupExamples
*/
/**
* @defgroup VarianceExample Variance Example
*
* \par Description:
* \par
* Demonstrates the use of Basic Math and Support Functions to calculate the variance of an
* input sequence with N samples. Uniformly distributed white noise is taken as input.
*
* \par Algorithm:
* \par
* The variance of a sequence is the mean of the squared deviation of the sequence from its mean.
* \par
* This is denoted by the following equation:
* <pre> variance = ((x[0] - x') * (x[0] - x') + (x[1] - x') * (x[1] - x') + ... + * (x[n-1] - x') * (x[n-1] - x')) / (N-1)</pre>
* where, <code>x[n]</code> is the input sequence, <code>N</code> is the number of input samples, and
* <code>x'</code> is the mean value of the input sequence, <code>x[n]</code>.
* \par
* The mean value <code>x'</code> is defined as:
* <pre> x' = (x[0] + x[1] + ... + x[n-1]) / N</pre>
*
* \par Block Diagram:
* \par
* \image html Variance.gif
*
*
* \par Variables Description:
* \par
* \li \c testInput_f32 points to the input data
* \li \c wire1, \c wir2, \c wire3 temporary buffers
* \li \c blockSize number of samples processed at a time
* \li \c refVarianceOut reference variance value
*
* \par CMSIS DSP Software Library Functions Used:
* \par
* - arm_dot_prod_f32()
* - arm_mult_f32()
* - arm_sub_f32()
* - arm_fill_f32()
* - arm_copy_f32()
*
* <b> Refer </b>
* \link arm_variance_example_f32.c \endlink
*
*/
/** \example arm_variance_example_f32.c
*/
#include <math.h>
#include "arm_math.h"
/* ----------------------------------------------------------------------
* Defines each of the tests performed
* ------------------------------------------------------------------- */
#define MAX_BLOCKSIZE 32
#define DELTA (0.000001f)
/* ----------------------------------------------------------------------
* Declare I/O buffers
* ------------------------------------------------------------------- */
float32_t wire1[MAX_BLOCKSIZE];
float32_t wire2[MAX_BLOCKSIZE];
float32_t wire3[MAX_BLOCKSIZE];
/* ----------------------------------------------------------------------
* Test input data for Floating point Variance example for 32-blockSize
* Generated by the MATLAB randn() function
* ------------------------------------------------------------------- */
float32_t testInput_f32[32] =
{
-0.432564811528221, -1.665584378238097, 0.125332306474831, 0.287676420358549,
-1.146471350681464, 1.190915465642999, 1.189164201652103, -0.037633276593318,
0.327292361408654, 0.174639142820925, -0.186708577681439, 0.725790548293303,
-0.588316543014189, 2.183185818197101, -0.136395883086596, 0.113931313520810,
1.066768211359189, 0.059281460523605, -0.095648405483669, -0.832349463650022,
0.294410816392640, -1.336181857937804, 0.714324551818952, 1.623562064446271,
-0.691775701702287, 0.857996672828263, 1.254001421602532, -1.593729576447477,
-1.440964431901020, 0.571147623658178, -0.399885577715363, 0.689997375464345
};
/* ----------------------------------------------------------------------
* Declare Global variables
* ------------------------------------------------------------------- */
uint32_t blockSize = 32;
float32_t refVarianceOut = 0.903941793931839;
/* ----------------------------------------------------------------------
* Variance calculation test
* ------------------------------------------------------------------- */
int32_t main(void)
{
arm_status status;
float32_t mean, oneByBlockSize;
float32_t variance;
float32_t diff;
status = ARM_MATH_SUCCESS;
/* Calculation of mean value of input */
/* x' = 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1) */
/* Fill wire1 buffer with 1.0 value */
arm_fill_f32(1.0, wire1, blockSize);
/* Calculate the dot product of wire1 and wire2 */
/* (x(0)* 1 + x(1) * 1 + ...+ x(n-1) * 1) */
arm_dot_prod_f32(testInput_f32, wire1, blockSize, &mean);
/* Calculation of 1/blockSize */
oneByBlockSize = 1.0 / (blockSize);
/* 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1) */
arm_mult_f32(&mean, &oneByBlockSize, &mean, 1);
/* Calculation of variance value of input */
/* (1/blockSize) * (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
/* Fill wire2 with mean value x' */
arm_fill_f32(mean, wire2, blockSize);
/* wire3 contains (x-x') */
arm_sub_f32(testInput_f32, wire2, wire3, blockSize);
/* wire2 contains (x-x') */
arm_copy_f32(wire3, wire2, blockSize);
/* (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
arm_dot_prod_f32(wire2, wire3, blockSize, &variance);
/* Calculation of 1/blockSize */
oneByBlockSize = 1.0 / (blockSize - 1);
/* Calculation of variance */
arm_mult_f32(&variance, &oneByBlockSize, &variance, 1);
/* absolute value of difference between ref and test */
diff = fabsf(refVarianceOut - variance);
/* Comparison of variance value with reference */
if(diff > DELTA)
{
status = ARM_MATH_TEST_FAILURE;
}
if( status != ARM_MATH_SUCCESS)
{
while(1);
}
}
/** \endlink */

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 11. November 2010
* $Revision: V1.0.2
*
* Project: CMSIS DSP Library
* Title: arm_common_tables.h
*
* Description: This file has extern declaration for common tables like Bitreverse, reciprocal etc which are used across different functions
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
* -------------------------------------------------------------------- */
#ifndef _ARM_COMMON_TABLES_H
#define _ARM_COMMON_TABLES_H
#include "arm_math.h"
extern uint16_t armBitRevTable[256];
extern q15_t armRecipTableQ15[64];
extern q31_t armRecipTableQ31[64];
#endif /* ARM_COMMON_TABLES_H */

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* -------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* Date: 29 November 2010
* Revision: V1.0.3
*
* Project: CMSIS DSP Software Library
* Title: Release Note for CMSIS DSP Software Library
*
* -------------------------------------------------------------------
NOTE - Open the index.html file inside the Documentation\DSP_Lib\html directory to access CMSIS DSP Library documentation
The CMSIS DSP Software Library is a suite of common signal processing functions targeted to Cortex-M processor based microcontrollers. Even though the code has been specifically optimized towards using the extended DSP instruction set of the Cortex-M4 processor, the library can be compiled for any Cortex-M processor.
The CMSIS DSP Software Library is released under the terms of the end user license agreement ( "CMSIS END USER LICENCE AGREEMENT.pdf" ) located in the base directory of this package. Any user of the software package is bound to the terms and conditions of the end user license agreement.
Under the top level of this released package, you will find the following sub-directories:
CM4 - Contains the CMSIS library elements for Cortex-M4 called by the CMSIS DSP Library functions
CM3 - Contains the CMSIS library elements for Cortex-M3 called by the CMSIS DSP Library functions
CM0 - Contains the CMSIS library elements for Cortex-M0
Documentation - Contains complete HTML documentation
DSP_Lib - MDK project files, Examples and source files etc.. to build the library for Cortex-M3 and Cortex-M4 processors
---

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
*
* Title: math_helper.h
*
*
* Description: Prototypes of all helper functions required.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
#ifndef MATH_HELPER_H
#define MATH_HELPER_H
float arm_snr_f32(float *pRef, float *pTest, uint32_t buffSize);
void arm_float_to_q12_20(float *pIn, q31_t * pOut, uint32_t numSamples);
void arm_provide_guard_bits_q15(q15_t *input_buf, uint32_t blockSize, uint32_t guard_bits);
void arm_provide_guard_bits_q31(q31_t *input_buf, uint32_t blockSize, uint32_t guard_bits);
void arm_float_to_q14(float *pIn, q15_t *pOut, uint32_t numSamples);
void arm_float_to_q29(float *pIn, q31_t *pOut, uint32_t numSamples);
void arm_float_to_q28(float *pIn, q31_t *pOut, uint32_t numSamples);
void arm_float_to_q30(float *pIn, q31_t *pOut, uint32_t numSamples);
void arm_clip_f32(float *pIn, uint32_t numSamples);
uint32_t arm_calc_guard_bits(uint32_t num_adds);
void arm_apply_guard_bits (float32_t * pIn, uint32_t numSamples, uint32_t guard_bits);
uint32_t arm_compare_fixed_q15(q15_t *pIn, q15_t * pOut, uint32_t numSamples);
uint32_t arm_compare_fixed_q31(q31_t *pIn, q31_t *pOut, uint32_t numSamples);
uint32_t arm_calc_2pow(uint32_t guard_bits);
#endif

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
*
* Title: math_helper.c
*
* Description: Definition of all helper functions required.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
* Include standard header files
* -------------------------------------------------------------------- */
#include<math.h>
/* ----------------------------------------------------------------------
* Include project header files
* -------------------------------------------------------------------- */
#include "math_helper.h"
/**
* @brief Caluclation of SNR
* @param float* Pointer to the reference buffer
* @param float* Pointer to the test buffer
* @param uint32_t total number of samples
* @return float SNR
* The function Caluclates signal to noise ratio for the reference output
* and test output
*/
float arm_snr_f32(float *pRef, float *pTest, uint32_t buffSize)
{
float EnergySignal = 0.0, EnergyError = 0.0;
uint32_t i;
float SNR;
for (i = 0; i < buffSize; i++)
{
EnergySignal += pRef[i] * pRef[i];
EnergyError += (pRef[i] - pTest[i]) * (pRef[i] - pTest[i]);
}
SNR = 10 * log10 (EnergySignal / EnergyError);
return (SNR);
}
/**
* @brief Provide guard bits for Input buffer
* @param q15_t* Pointer to input buffer
* @param uint32_t blockSize
* @param uint32_t guard_bits
* @return none
* The function Provides the guard bits for the buffer
* to avoid overflow
*/
void arm_provide_guard_bits_q15 (q15_t * input_buf, uint32_t blockSize,
uint32_t guard_bits)
{
uint32_t i;
for (i = 0; i < blockSize; i++)
{
input_buf[i] = input_buf[i] >> guard_bits;
}
}
/**
* @brief Converts float to fixed in q12.20 format
* @param uint32_t number of samples in the buffer
* @return none
* The function converts floating point values to fixed point(q12.20) values
*/
void arm_float_to_q12_20(float *pIn, q31_t * pOut, uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
/* 1048576.0f corresponds to pow(2, 20) */
pOut[i] = (q31_t) (pIn[i] * 1048576.0f);
pOut[i] += pIn[i] > 0 ? 0.5 : -0.5;
if (pIn[i] == (float) 1.0)
{
pOut[i] = 0x000FFFFF;
}
}
}
/**
* @brief Compare MATLAB Reference Output and ARM Test output
* @param q15_t* Pointer to Ref buffer
* @param q15_t* Pointer to Test buffer
* @param uint32_t number of samples in the buffer
* @return none
*/
uint32_t arm_compare_fixed_q15(q15_t *pIn, q15_t * pOut, uint32_t numSamples)
{
uint32_t i;
int32_t diff, diffCrnt = 0;
uint32_t maxDiff = 0;
for (i = 0; i < numSamples; i++)
{
diff = pIn[i] - pOut[i];
diffCrnt = (diff > 0) ? diff : -diff;
if(diffCrnt > maxDiff)
{
maxDiff = diffCrnt;
}
}
return(maxDiff);
}
/**
* @brief Compare MATLAB Reference Output and ARM Test output
* @param q31_t* Pointer to Ref buffer
* @param q31_t* Pointer to Test buffer
* @param uint32_t number of samples in the buffer
* @return none
*/
uint32_t arm_compare_fixed_q31(q31_t *pIn, q31_t * pOut, uint32_t numSamples)
{
uint32_t i;
int32_t diff, diffCrnt = 0;
uint32_t maxDiff = 0;
for (i = 0; i < numSamples; i++)
{
diff = pIn[i] - pOut[i];
diffCrnt = (diff > 0) ? diff : -diff;
if(diffCrnt > maxDiff)
{
maxDiff = diffCrnt;
}
}
return(maxDiff);
}
/**
* @brief Provide guard bits for Input buffer
* @param q31_t* Pointer to input buffer
* @param uint32_t blockSize
* @param uint32_t guard_bits
* @return none
* The function Provides the guard bits for the buffer
* to avoid overflow
*/
void arm_provide_guard_bits_q31 (q31_t * input_buf,
uint32_t blockSize,
uint32_t guard_bits)
{
uint32_t i;
for (i = 0; i < blockSize; i++)
{
input_buf[i] = input_buf[i] >> guard_bits;
}
}
/**
* @brief Provide guard bits for Input buffer
* @param q31_t* Pointer to input buffer
* @param uint32_t blockSize
* @param uint32_t guard_bits
* @return none
* The function Provides the guard bits for the buffer
* to avoid overflow
*/
void arm_provide_guard_bits_q7 (q7_t * input_buf,
uint32_t blockSize,
uint32_t guard_bits)
{
uint32_t i;
for (i = 0; i < blockSize; i++)
{
input_buf[i] = input_buf[i] >> guard_bits;
}
}
/**
* @brief Caluclates number of guard bits
* @param uint32_t number of additions
* @return none
* The function Caluclates the number of guard bits
* depending on the numtaps
*/
uint32_t arm_calc_guard_bits (uint32_t num_adds)
{
uint32_t i = 1, j = 0;
if (num_adds == 1)
{
return (0);
}
while (i < num_adds)
{
i = i * 2;
j++;
}
return (j);
}
/**
* @brief Converts Q15 to floating-point
* @param uint32_t number of samples in the buffer
* @return none
*/
void arm_apply_guard_bits (float32_t * pIn,
uint32_t numSamples,
uint32_t guard_bits)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
pIn[i] = pIn[i] * arm_calc_2pow(guard_bits);
}
}
/**
* @brief Calculates pow(2, numShifts)
* @param uint32_t number of shifts
* @return pow(2, numShifts)
*/
uint32_t arm_calc_2pow(uint32_t numShifts)
{
uint32_t i, val = 1;
for (i = 0; i < numShifts; i++)
{
val = val * 2;
}
return(val);
}
/**
* @brief Converts float to fixed q14
* @param uint32_t number of samples in the buffer
* @return none
* The function converts floating point values to fixed point values
*/
void arm_float_to_q14 (float *pIn, q15_t * pOut,
uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
/* 16384.0f corresponds to pow(2, 14) */
pOut[i] = (q15_t) (pIn[i] * 16384.0f);
pOut[i] += pIn[i] > 0 ? 0.5 : -0.5;
if (pIn[i] == (float) 2.0)
{
pOut[i] = 0x7FFF;
}
}
}
/**
* @brief Converts float to fixed q30 format
* @param uint32_t number of samples in the buffer
* @return none
* The function converts floating point values to fixed point values
*/
void arm_float_to_q30 (float *pIn, q31_t * pOut,
uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
/* 1073741824.0f corresponds to pow(2, 30) */
pOut[i] = (q31_t) (pIn[i] * 1073741824.0f);
pOut[i] += pIn[i] > 0 ? 0.5 : -0.5;
if (pIn[i] == (float) 2.0)
{
pOut[i] = 0x7FFFFFFF;
}
}
}
/**
* @brief Converts float to fixed q30 format
* @param uint32_t number of samples in the buffer
* @return none
* The function converts floating point values to fixed point values
*/
void arm_float_to_q29 (float *pIn, q31_t * pOut,
uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
/* 1073741824.0f corresponds to pow(2, 30) */
pOut[i] = (q31_t) (pIn[i] * 536870912.0f);
pOut[i] += pIn[i] > 0 ? 0.5 : -0.5;
if (pIn[i] == (float) 4.0)
{
pOut[i] = 0x7FFFFFFF;
}
}
}
/**
* @brief Converts float to fixed q28 format
* @param uint32_t number of samples in the buffer
* @return none
* The function converts floating point values to fixed point values
*/
void arm_float_to_q28 (float *pIn, q31_t * pOut,
uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
/* 268435456.0f corresponds to pow(2, 28) */
pOut[i] = (q31_t) (pIn[i] * 268435456.0f);
pOut[i] += pIn[i] > 0 ? 0.5 : -0.5;
if (pIn[i] == (float) 8.0)
{
pOut[i] = 0x7FFFFFFF;
}
}
}
/**
* @brief Clip the float values to +/- 1
* @param pIn input buffer
* @param numSamples number of samples in the buffer
* @return none
* The function converts floating point values to fixed point values
*/
void arm_clip_f32 (float *pIn, uint32_t numSamples)
{
uint32_t i;
for (i = 0; i < numSamples; i++)
{
if(pIn[i] > 1.0f)
{
pIn[i] = 1.0;
}
else if( pIn[i] < -1.0f)
{
pIn[i] = -1.0;
}
}
}

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_abs_f32.c
*
* Description: Vector absolute value.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
#include <math.h>
/**
* @ingroup groupMath
*/
/**
* @defgroup BasicAbs Vector Absolute Value
*
* Computes the absolute value of a vector on an element-by-element basis.
*
* <pre>
* pDst[n] = abs(pSrcA[n]), 0 <= n < blockSize.
* </pre>
*
* The operation can be done in-place by setting the input and output pointers to the same buffer.
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup BasicAbs
* @{
*/
/**
* @brief Floating-point vector absolute value.
* @param[in] *pSrc points to the input buffer
* @param[out] *pDst points to the output buffer
* @param[in] blockSize number of samples in each vector
* @return none.
*/
void arm_abs_f32(
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = |A| */
/* Calculate absolute and then store the results in the destination buffer. */
*pDst++ = fabsf(*pSrc++);
*pDst++ = fabsf(*pSrc++);
*pDst++ = fabsf(*pSrc++);
*pDst++ = fabsf(*pSrc++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = |A| */
/* Calculate absolute and then store the results in the destination buffer. */
*pDst++ = fabsf(*pSrc++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAbs group
*/

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_abs_q15.c
*
* Description: Q15 vector absolute value.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAbs
* @{
*/
/**
* @brief Q15 vector absolute value.
* @param[in] *pSrc points to the input buffer
* @param[out] *pDst points to the output buffer
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q15 value -1 (0x8000) will be saturated to the maximum allowable positive value 0x7FFF.
*/
void arm_abs_q15(
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q15_t in1; /* Input value1 */
q15_t in2; /* Input value2 */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = |A| */
/* Read two inputs */
in1 = *pSrc++;
in2 = *pSrc++;
/* Store the Absolute result in the destination buffer by packing the two values, in a single cycle */
*__SIMD32(pDst)++ =
__PKHBT(((in1 > 0) ? in1 : __SSAT(-in1, 16)),
((in2 > 0) ? in2 : __SSAT(-in2, 16)), 16);
in1 = *pSrc++;
in2 = *pSrc++;
*__SIMD32(pDst)++ =
__PKHBT(((in1 > 0) ? in1 : __SSAT(-in1, 16)),
((in2 > 0) ? in2 : __SSAT(-in2, 16)), 16);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = |A| */
/* Read the input */
in1 = *pSrc++;
/* Calculate absolute value of input and then store the result in the destination buffer. */
*pDst++ = (in1 > 0) ? in1 : __SSAT(-in1, 16);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAbs group
*/

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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_abs_q31.c
*
* Description: Q31 vector absolute value.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAbs
* @{
*/
/**
* @brief Q31 vector absolute value.
* @param[in] *pSrc points to the input buffer
* @param[out] *pDst points to the output buffer
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q31 value -1 (0x80000000) will be saturated to the maximum allowable positive value 0x7FFFFFFF.
*/
void arm_abs_q31(
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q31_t in; /* Input value */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = |A| */
/* Calculate absolute of input (if -1 then saturated to 0x7fffffff) and then store the results in the destination buffer. */
in = *pSrc++;
*pDst++ = (in > 0) ? in : ((in == 0x80000000) ? 0x7fffffff : -in);
in = *pSrc++;
*pDst++ = (in > 0) ? in : ((in == 0x80000000) ? 0x7fffffff : -in);
in = *pSrc++;
*pDst++ = (in > 0) ? in : ((in == 0x80000000) ? 0x7fffffff : -in);
in = *pSrc++;
*pDst++ = (in > 0) ? in : ((in == 0x80000000) ? 0x7fffffff : -in);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = |A| */
/* Calculate absolute value of the input (if -1 then saturated to 0x7fffffff) and then store the results in the destination buffer. */
in = *pSrc++;
*pDst++ = (in > 0) ? in : ((in == 0x80000000) ? 0x7fffffff : -in);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAbs group
*/

111
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_abs_q7.c
*
* Description: Q7 vector absolute value.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAbs
* @{
*/
/**
* @brief Q7 vector absolute value.
* @param[in] *pSrc points to the input buffer
* @param[out] *pDst points to the output buffer
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q7 value -1 (0x80) will be saturated to the maximum allowable positive value 0x7F.
*/
void arm_abs_q7(
q7_t * pSrc,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q7_t in1; /* Input value1 */
q7_t in2; /* Input value2 */
q7_t in3; /* Input value3 */
q7_t in4; /* Input value4 */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = |A| */
/* Read 4 inputs */
in1 = *pSrc++;
in2 = *pSrc++;
in3 = *pSrc++;
in4 = *pSrc++;
/* Store the Absolute result in the destination buffer by packing the 4 values in single cycle */
*__SIMD32(pDst)++ =
__PACKq7(((in1 > 0) ? in1 : __SSAT(-in1, 8)),
((in2 > 0) ? in2 : __SSAT(-in2, 8)),
((in3 > 0) ? in3 : __SSAT(-in3, 8)),
((in4 > 0) ? in4 : __SSAT(-in4, 8)));
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = |A| */
/* Read the input */
in1 = *pSrc++;
/* Store the Absolute result in the destination buffer */
*pDst++ = (in1 > 0) ? in1 : __SSAT(-in1, 8);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAbs group
*/

105
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_add_f32.c
*
* Description: Floating-point vector addition.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup BasicAdd Vector Addition
*
* Element-by-element addition of two vectors.
*
* <pre>
* pDst[n] = pSrcA[n] + pSrcB[n], 0 <= n < blockSize.
* </pre>
*
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup BasicAdd
* @{
*/
/**
* @brief Floating-point vector addition.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*/
void arm_add_f32(
float32_t * pSrcA,
float32_t * pSrcB,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = (*pSrcA++) + (*pSrcB++);
*pDst++ = (*pSrcA++) + (*pSrcB++);
*pDst++ = (*pSrcA++) + (*pSrcB++);
*pDst++ = (*pSrcA++) + (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = (*pSrcA++) + (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAdd group
*/

98
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_add_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_add_q15.c
*
* Description: Q15 vector addition
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAdd
* @{
*/
/**
* @brief Q15 vector addition.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.
*/
void arm_add_q15(
q15_t * pSrcA,
q15_t * pSrcB,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
*__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = (q15_t) __QADD16(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAdd group
*/

100
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_add_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_add_q31.c
*
* Description: Q31 vector addition.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAdd
* @{
*/
/**
* @brief Q31 vector addition.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated.
*/
void arm_add_q31(
q31_t * pSrcA,
q31_t * pSrcB,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = __QADD(*pSrcA++, *pSrcB++);
*pDst++ = __QADD(*pSrcA++, *pSrcB++);
*pDst++ = __QADD(*pSrcA++, *pSrcB++);
*pDst++ = __QADD(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = __QADD(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAdd group
*/

97
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_add_q7.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_add_q7.c
*
* Description: Q7 vector addition.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicAdd
* @{
*/
/**
* @brief Q7 vector addition.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q7 range [0x80 0x7F] will be saturated.
*/
void arm_add_q7(
q7_t * pSrcA,
q7_t * pSrcB,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*__SIMD32(pDst)++ = __QADD8(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + B */
/* Add and then store the results in the destination buffer. */
*pDst++ = (q7_t) __SSAT(*pSrcA++ + *pSrcB++, 8);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicAdd group
*/

106
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_dot_prod_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_dot_prod_f32.c
*
* Description: Floating-point dot product.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup dot_prod Vector Dot Product
*
* Computes the dot product of two vectors.
* The vectors are multiplied element-by-element and then summed.
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup dot_prod
* @{
*/
/**
* @brief Dot product of floating-point vectors.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[in] blockSize number of samples in each vector
* @param[out] *result output result returned here
* @return none.
*/
void arm_dot_prod_f32(
float32_t * pSrcA,
float32_t * pSrcB,
uint32_t blockSize,
float32_t * result)
{
float32_t sum = 0.0f; /* Temporary result storage */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the result in a temporary buffer */
sum += (*pSrcA++) * (*pSrcB++);
sum += (*pSrcA++) * (*pSrcB++);
sum += (*pSrcA++) * (*pSrcB++);
sum += (*pSrcA++) * (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the result in a temporary buffer. */
sum += (*pSrcA++) * (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* Store the result back in the destination buffer */
*result = sum;
}
/**
* @} end of dot_prod group
*/

104
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_dot_prod_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_dot_prod_q15.c
*
* Description: Q15 dot product.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup dot_prod
* @{
*/
/**
* @brief Dot product of Q15 vectors.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[in] blockSize number of samples in each vector
* @param[out] *result output result returned here
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The intermediate multiplications are in 1.15 x 1.15 = 2.30 format and these
* results are added to a 64-bit accumulator in 34.30 format.
* Nonsaturating additions are used and given that there are 33 guard bits in the accumulator
* there is no risk of overflow.
* The return result is in 34.30 format.
*/
void arm_dot_prod_q15(
q15_t * pSrcA,
q15_t * pSrcB,
uint32_t blockSize,
q63_t * result)
{
q63_t sum = 0; /* Temporary result storage */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the result in a temporary buffer. */
sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum);
sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the results in a temporary buffer. */
sum = __SMLALD(*pSrcA++, *pSrcB++, sum);
/* Decrement the loop counter */
blkCnt--;
}
/* Store the result in the destination buffer in 34.30 format */
*result = sum;
}
/**
* @} end of dot_prod group
*/

107
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_dot_prod_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_dot_prod_q31.c
*
* Description: Q31 dot product.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup dot_prod
* @{
*/
/**
* @brief Dot product of Q31 vectors.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[in] blockSize number of samples in each vector
* @param[out] *result output result returned here
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The intermediate multiplications are in 1.31 x 1.31 = 2.62 format and these
* are truncated to 2.48 format by discarding the lower 14 bits.
* The 2.48 result is then added without saturation to a 64-bit accumulator in 16.48 format.
* There are 15 guard bits in the accumulator and there is no risk of overflow as long as
* the length of the vectors is less than 2^16 elements.
* The return result is in 16.48 format.
*/
void arm_dot_prod_q31(
q31_t * pSrcA,
q31_t * pSrcB,
uint32_t blockSize,
q63_t * result)
{
q63_t sum = 0; /* Temporary result storage */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the result in a temporary buffer. */
sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14u;
sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14u;
sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14u;
sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14u;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Calculate dot product and then store the result in a temporary buffer. */
sum += ((q63_t) * pSrcA++ * *pSrcB++) >> 14u;
/* Decrement the loop counter */
blkCnt--;
}
/* Store the result in the destination buffer in 16.48 format */
*result = sum;
}
/**
* @} end of dot_prod group
*/

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hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_dot_prod_q7.c
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@ -1,132 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_dot_prod_q7.c
*
* Description: Q7 dot product.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup dot_prod
* @{
*/
/**
* @brief Dot product of Q7 vectors.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[in] blockSize number of samples in each vector
* @param[out] *result output result returned here
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The intermediate multiplications are in 1.7 x 1.7 = 2.14 format and these
* results are added to an accumulator in 18.14 format.
* Nonsaturating additions are used and there is no danger of wrap around as long as
* the vectors are less than 2^18 elements long.
* The return result is in 18.14 format.
*/
void arm_dot_prod_q7(
q7_t * pSrcA,
q7_t * pSrcB,
uint32_t blockSize,
q31_t * result)
{
q31_t input1, input2; /* Temporary variables to store input */
q15_t in1, in2; /* Temporary variables to store input */
q31_t sum = 0; /* Temporary variables to store output */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * pSrcA++;
in2 = (q15_t) * pSrcA++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * pSrcB++;
in2 = (q15_t) * pSrcB++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Perform Dot product of 2 packed inputs using SMLALD and store the result in a temporary variable. */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * pSrcA++;
in2 = (q15_t) * pSrcA++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * pSrcB++;
in2 = (q15_t) * pSrcB++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Perform Dot product of 2 packed inputs using SMLALD and store the result in a temporary variable. */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
/* Dot product and then store the results in a temporary buffer. */
sum = __SMLAD(*pSrcA++, *pSrcB++, sum);
/* Decrement the loop counter */
blkCnt--;
}
/* Store the result in the destination buffer in 18.14 format */
*result = sum;
}
/**
* @} end of dot_prod group
*/

108
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_mult_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_mult_f32.c
*
* Description: Floating-point vector multiplication.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.5 2010/04/26
* incorporated review comments and updated with latest CMSIS layer
*
* Version 0.0.3 2010/03/10
* Initial version
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup BasicMult Vector Multiplication
*
* Element-by-element multiplication of two vectors.
*
* <pre>
* pDst[n] = pSrcA[n] * pSrcB[n], 0 <= n < blockSize.
* </pre>
*
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup BasicMult
* @{
*/
/**
* @brief Floating-point vector multiplication.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*/
void arm_mult_f32(
float32_t * pSrcA,
float32_t * pSrcB,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counters */
/* loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the results in output buffer */
*pDst++ = (*pSrcA++) * (*pSrcB++);
*pDst++ = (*pSrcA++) * (*pSrcB++);
*pDst++ = (*pSrcA++) * (*pSrcB++);
*pDst++ = (*pSrcA++) * (*pSrcB++);
/* Decrement the blockSize loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the results in output buffer */
*pDst++ = (*pSrcA++) * (*pSrcB++);
/* Decrement the blockSize loop counter */
blkCnt--;
}
}
/**
* @} end of BasicMult group
*/

102
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_mult_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_mult_q15.c
*
* Description: Q15 vector multiplication.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.5 2010/04/26
* incorporated review comments and updated with latest CMSIS layer
*
* Version 0.0.3 2010/03/10
* Initial version
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicMult
* @{
*/
/**
* @brief Q15 vector multiplication
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.
*/
void arm_mult_q15(
q15_t * pSrcA,
q15_t * pSrcB,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counters */
/* loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the result in the destination buffer */
*pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16);
*pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16);
*pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16);
*pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16);
/* Decrement the blockSize loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the result in the destination buffer */
*pDst++ = (q15_t) __SSAT((((q31_t) (*pSrcA++) * (*pSrcB++)) >> 15), 16);
/* Decrement the blockSize loop counter */
blkCnt--;
}
}
/**
* @} end of BasicMult group
*/

101
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_mult_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_mult_q31.c
*
* Description: Q31 vector multiplication.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.5 2010/04/26
* incorporated review comments and updated with latest CMSIS layer
*
* Version 0.0.3 2010/03/10
* Initial version
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicMult
* @{
*/
/**
* @brief Q31 vector multiplication.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q31 range[0x80000000 0x7FFFFFFF] will be saturated.
*/
void arm_mult_q31(
q31_t * pSrcA,
q31_t * pSrcB,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counters */
/* loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and then store the results in the destination buffer. */
*pDst++ = (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31);
*pDst++ = (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31);
*pDst++ = (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31);
*pDst++ = (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31);
/* Decrement the blockSize loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and then store the results in the destination buffer. */
*pDst++ = (q31_t) clip_q63_to_q31(((q63_t) (*pSrcA++) * (*pSrcB++)) >> 31);
/* Decrement the blockSize loop counter */
blkCnt--;
}
}
/**
* @} end of BasicMult group
*/

108
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_mult_q7.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_mult_q7.c
*
* Description: Q7 vector multiplication.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
*
* Version 0.0.5 2010/04/26
* incorporated review comments and updated with latest CMSIS layer
*
* Version 0.0.3 2010/03/10 DP
* Initial version
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicMult
* @{
*/
/**
* @brief Q7 vector multiplication
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q7 range [0x80 0x7F] will be saturated.
*/
void arm_mult_q7(
q7_t * pSrcA,
q7_t * pSrcB,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counters */
q7_t out1, out2, out3, out4; /* Temporary variables to store the product */
/* loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the results in temporary variables */
out1 = (q7_t) (((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7);
out2 = (q7_t) (((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7);
out3 = (q7_t) (((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7);
out4 = (q7_t) (((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7);
/* Store the results of 4 inputs in the destination buffer in single cycle by packing */
*__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4);
/* Decrement the blockSize loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * B */
/* Multiply the inputs and store the result in the destination buffer */
*pDst++ = (q7_t) (((q15_t) (*pSrcA++) * (*pSrcB++)) >> 7);
/* Decrement the blockSize loop counter */
blkCnt--;
}
}
/**
* @} end of BasicMult group
*/

101
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_negate_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_negate_f32.c
*
* Description: Negates floating-point vectors.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup negate Vector Negate
*
* Negates the elements of a vector.
*
* <pre>
* pDst[n] = -pSrc[n], 0 <= n < blockSize.
* </pre>
*/
/**
* @addtogroup negate
* @{
*/
/**
* @brief Negates the elements of a floating-point vector.
* @param *pSrc points to the input vector
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*/
void arm_negate_f32(
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the results in the destination buffer. */
*pDst++ = -*pSrc++;
*pDst++ = -*pSrc++;
*pDst++ = -*pSrc++;
*pDst++ = -*pSrc++;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the results in the destination buffer. */
*pDst++ = -*pSrc++;
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of negate group
*/

103
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_negate_q15.c
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@ -1,103 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_negate_q15.c
*
* Description: Negates Q15 vectors.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup negate
* @{
*/
/**
* @brief Negates the elements of a Q15 vector.
* @param *pSrc points to the input vector
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q15 value -1 (0x8000) will be saturated to the maximum allowable positive value 0x7FFF.
*/
void arm_negate_q15(
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q15_t in1, in2; /* Temporary variables */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = ~A */
/* Read two inputs */
in1 = *pSrc++;
in2 = *pSrc++;
/* Negate and then store the results in the destination buffer by packing. */
*__SIMD32(pDst)++ = __PKHBT(__SSAT(-in1, 16), __SSAT(-in2, 16), 16);
in1 = *pSrc++;
in2 = *pSrc++;
*__SIMD32(pDst)++ = __PKHBT(__SSAT(-in1, 16), __SSAT(-in2, 16), 16);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the result in the destination buffer. */
*pDst++ = __SSAT(-*pSrc++, 16);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of negate group
*/

103
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_negate_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_negate_q31.c
*
* Description: Negates Q31 vectors.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup negate
* @{
*/
/**
* @brief Negates the elements of a Q31 vector.
* @param *pSrc points to the input vector
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q31 value -1 (0x80000000) will be saturated to the maximum allowable positive value 0x7FFFFFFF.
*/
void arm_negate_q31(
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t in; /* Temporary variable */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the results in the destination buffer. */
in = *pSrc++;
*pDst++ = (in == 0x80000000) ? 0x7fffffff : -in;
in = *pSrc++;
*pDst++ = (in == 0x80000000) ? 0x7fffffff : -in;
in = *pSrc++;
*pDst++ = (in == 0x80000000) ? 0x7fffffff : -in;
in = *pSrc++;
*pDst++ = (in == 0x80000000) ? 0x7fffffff : -in;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the result in the destination buffer. */
in = *pSrc++;
*pDst++ = (in == 0x80000000) ? 0x7fffffff : -in;
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of negate group
*/

106
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_negate_q7.c
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@ -1,106 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_negate_q7.c
*
* Description: Negates Q7 vectors.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup negate
* @{
*/
/**
* @brief Negates the elements of a Q7 vector.
* @param *pSrc points to the input vector
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* The Q7 value -1 (0x80) will be saturated to the maximum allowable positive value 0x7F.
*/
void arm_negate_q7(
q7_t * pSrc,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q7_t in1; /* Input value1 */
q7_t in2; /* Input value2 */
q7_t in3; /* Input value3 */
q7_t in4; /* Input value4 */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = ~A */
/* Read four inputs */
in1 = *pSrc++;
in2 = *pSrc++;
in3 = *pSrc++;
in4 = *pSrc++;
/* Store the Negated results in the destination buffer in a single cycle by packing the results */
*__SIMD32(pDst)++ =
__PACKq7(__SSAT(-in1, 8), __SSAT(-in2, 8), __SSAT(-in3, 8),
__SSAT(-in4, 8));
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = ~A */
/* Negate and then store the results in the destination buffer. */
*pDst++ = __SSAT(-*pSrc++, 8);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of negate group
*/

106
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_offset_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_offset_f32.c
*
* Description: Floating-point vector offset.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup offset Vector Offset
*
* Adds a constant offset to each element of a vector.
*
* <pre>
* pDst[n] = pSrc[n] + offset, 0 <= n < blockSize.
* </pre>
*
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup offset
* @{
*/
/**
* @brief Adds a constant offset to a floating-point vector.
* @param *pSrc points to the input vector
* @param offset is the offset to be added
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*/
void arm_offset_f32(
float32_t * pSrc,
float32_t offset,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the results in the destination buffer. */
*pDst++ = (*pSrc++) + offset;
*pDst++ = (*pSrc++) + offset;
*pDst++ = (*pSrc++) + offset;
*pDst++ = (*pSrc++) + offset;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the result in the destination buffer. */
*pDst++ = (*pSrc++) + offset;
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of offset group
*/

101
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_offset_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_offset_q15.c
*
* Description: Q15 vector offset.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup offset
* @{
*/
/**
* @brief Adds a constant offset to a Q15 vector.
* @param *pSrc points to the input vector
* @param offset is the offset to be added
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q15 range [0x8000 0x7FFF] are saturated.
*/
void arm_offset_q15(
q15_t * pSrc,
q15_t offset,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q31_t offset_packed; /* Offset packed to 32 bit */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* Offset is packed to 32 bit in order to use SIMD32 for addition */
offset_packed = __PKHBT(offset, offset, 16);
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the results in the destination buffer, 2 samples at a time. */
*__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrc)++, offset_packed);
*__SIMD32(pDst)++ = __QADD16(*__SIMD32(pSrc)++, offset_packed);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the results in the destination buffer. */
*pDst++ = (q15_t) __QADD16(*pSrc++, offset);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of offset group
*/

99
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_offset_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_offset_q31.c
*
* Description: Q31 vector offset.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup offset
* @{
*/
/**
* @brief Adds a constant offset to a Q31 vector.
* @param *pSrc points to the input vector
* @param offset is the offset to be added
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] are saturated.
*/
void arm_offset_q31(
q31_t * pSrc,
q31_t offset,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the results in the destination buffer. */
*pDst++ = __QADD(*pSrc++, offset);
*pDst++ = __QADD(*pSrc++, offset);
*pDst++ = __QADD(*pSrc++, offset);
*pDst++ = __QADD(*pSrc++, offset);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the result in the destination buffer. */
*pDst++ = __QADD(*pSrc++, offset);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of offset group
*/

100
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_offset_q7.c
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@ -1,100 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_offset_q7.c
*
* Description: Q7 vector offset.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup offset
* @{
*/
/**
* @brief Adds a constant offset to a Q7 vector.
* @param *pSrc points to the input vector
* @param offset is the offset to be added
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q7 range [0x80 0x7F] are saturated.
*/
void arm_offset_q7(
q7_t * pSrc,
q7_t offset,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
q31_t offset_packed; /* Offset packed to 32 bit */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* Offset is packed to 32 bit in order to use SIMD32 for addition */
offset_packed = __PACKq7(offset, offset, offset, offset);
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the results in the destination bufferfor 4 samples at a time. */
*__SIMD32(pDst)++ = __QADD8(*__SIMD32(pSrc)++, offset_packed);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A + offset */
/* Add offset and then store the result in the destination buffer. */
*pDst++ = (q7_t) __SSAT(*pSrc++ + offset, 8);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of offset group
*/

118
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_scale_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_scale_f32.c
*
* Description: Multiplies a floating-point vector by a scalar.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup scale Vector Scale
*
* Multiply a vector by a scalar value. For floating-point data, the algorithm used is:
*
* <pre>
* pDst[n] = pSrc[n] * scale, 0 <= n < blockSize.
* </pre>
*
* In the fixed-point Q7, Q15, and Q31 functions, <code>scale</code> is represented by
* a fractional multiplication <code>scaleFract</code> and an arithmetic shift <code>shift</code>.
* The shift allows the gain of the scaling operation to exceed 1.0.
* The algorithm used with fixed-point data is:
*
* <pre>
* pDst[n] = (pSrc[n] * scaleFract) << shift, 0 <= n < blockSize.
* </pre>
*
* The overall scale factor applied to the fixed-point data is
* <pre>
* scale = scaleFract * 2^shift.
* </pre>
*/
/**
* @addtogroup scale
* @{
*/
/**
* @brief Multiplies a floating-point vector by a scalar.
* @param[in] *pSrc points to the input vector
* @param[in] scale scale factor to be applied
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in the vector
* @return none.
*/
void arm_scale_f32(
float32_t * pSrc,
float32_t scale,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the results in the destination buffer. */
*pDst++ = (*pSrc++) * scale;
*pDst++ = (*pSrc++) * scale;
*pDst++ = (*pSrc++) * scale;
*pDst++ = (*pSrc++) * scale;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the result in the destination buffer. */
*pDst++ = (*pSrc++) * scale;
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of scale group
*/

114
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_scale_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_scale_q15.c
*
* Description: Multiplies a Q15 vector by a scalar.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup scale
* @{
*/
/**
* @brief Multiplies a Q15 vector by a scalar.
* @param[in] *pSrc points to the input vector
* @param[in] scaleFract fractional portion of the scale value
* @param[in] shift number of bits to shift the result by
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The input data <code>*pSrc</code> and <code>scaleFract</code> are in 1.15 format.
* These are multiplied to yield a 2.30 intermediate result and this is shifted with saturation to 1.15 format.
*/
void arm_scale_q15(
q15_t * pSrc,
q15_t scaleFract,
int8_t shift,
q15_t * pDst,
uint32_t blockSize)
{
int8_t kShift = 15 - shift; /* shift to apply after scaling */
uint32_t blkCnt; /* loop counter */
q15_t in1, in2; /* Temporary variables */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* Reading 2 inputs from memory */
in1 = *pSrc++;
in2 = *pSrc++;
/* C = A * scale */
/* Scale the inputs and then store the 2 results in the destination buffer
* in single cycle by packing the outputs */
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((in1 * scaleFract) >> kShift, 16),
__SSAT((in2 * scaleFract) >> kShift, 16), 16);
in1 = *pSrc++;
in2 = *pSrc++;
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((in1 * scaleFract) >> kShift, 16),
__SSAT((in2 * scaleFract) >> kShift, 16), 16);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the result in the destination buffer. */
*pDst++ = (q15_t) (__SSAT(((*pSrc++) * scaleFract) >> kShift, 16));
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of scale group
*/

102
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_scale_q31.c
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@ -1,102 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_scale_q31.c
*
* Description: Multiplies a Q31 vector by a scalar.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup scale
* @{
*/
/**
* @brief Multiplies a Q31 vector by a scalar.
* @param[in] *pSrc points to the input vector
* @param[in] scaleFract fractional portion of the scale value
* @param[in] shift number of bits to shift the result by
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The input data <code>*pSrc</code> and <code>scaleFract</code> are in 1.31 format.
* These are multiplied to yield a 2.62 intermediate result and this is shifted with saturation to 1.31 format.
*/
void arm_scale_q31(
q31_t * pSrc,
q31_t scaleFract,
int8_t shift,
q31_t * pDst,
uint32_t blockSize)
{
int8_t kShift = 31 - shift; /* Shift to apply after scaling */
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the results in the destination buffer. */
*pDst++ = clip_q63_to_q31(((q63_t) * pSrc++ * scaleFract) >> kShift);
*pDst++ = clip_q63_to_q31(((q63_t) * pSrc++ * scaleFract) >> kShift);
*pDst++ = clip_q63_to_q31(((q63_t) * pSrc++ * scaleFract) >> kShift);
*pDst++ = clip_q63_to_q31(((q63_t) * pSrc++ * scaleFract) >> kShift);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the result in the destination buffer. */
*pDst++ = clip_q63_to_q31(((q63_t) * pSrc++ * scaleFract) >> kShift);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of scale group
*/

114
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_scale_q7.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_scale_q7.c
*
* Description: Multiplies a Q7 vector by a scalar.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup scale
* @{
*/
/**
* @brief Multiplies a Q7 vector by a scalar.
* @param[in] *pSrc points to the input vector
* @param[in] scaleFract fractional portion of the scale value
* @param[in] shift number of bits to shift the result by
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The input data <code>*pSrc</code> and <code>scaleFract</code> are in 1.7 format.
* These are multiplied to yield a 2.14 intermediate result and this is shifted with saturation to 1.7 format.
*/
void arm_scale_q7(
q7_t * pSrc,
q7_t scaleFract,
int8_t shift,
q7_t * pDst,
uint32_t blockSize)
{
int8_t kShift = 7 - shift; /* shift to apply after scaling */
uint32_t blkCnt; /* loop counter */
q7_t in1, in2, in3, in4, out1, out2, out3, out4; /* Temporary variables to store input & output */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* Reading 4 inputs from memory */
in1 = *pSrc++;
in2 = *pSrc++;
in3 = *pSrc++;
in4 = *pSrc++;
/* C = A * scale */
/* Scale the inputs and then store the results in the temporary variables. */
out1 = (q7_t) (__SSAT(((in1) * scaleFract) >> kShift, 8));
out2 = (q7_t) (__SSAT(((in2) * scaleFract) >> kShift, 8));
out3 = (q7_t) (__SSAT(((in3) * scaleFract) >> kShift, 8));
out4 = (q7_t) (__SSAT(((in4) * scaleFract) >> kShift, 8));
/* Packing the individual outputs into 32bit and storing in
* destination buffer in single write */
*__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A * scale */
/* Scale the input and then store the result in the destination buffer. */
*pDst++ = (q7_t) (__SSAT(((*pSrc++) * scaleFract) >> kShift, 8));
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of scale group
*/

152
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_shift_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_shift_q15.c
*
* Description: Shifts elements of a Q15 vector a specified number of bits.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup shift
* @{
*/
/**
* @brief Shifts the elements of a Q15 vector a specified number of bits.
* @param *pSrc points to the input vector
* @param shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right.
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.
*/
void arm_shift_q15(
q15_t * pSrc,
int8_t shiftBits,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
uint8_t sign; /* Sign of shiftBits */
q15_t in1, in2; /* Temporary variables */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* Getting the sign of shiftBits */
sign = (shiftBits & 0x80);
/* If the shift value is positive then do right shift else left shift */
if(sign == 0u)
{
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* Read 2 inputs */
in1 = *pSrc++;
in2 = *pSrc++;
/* C = A << shiftBits */
/* Shift the inputs and then store the results in the destination buffer. */
*__SIMD32(pDst)++ = __PKHBT(__SSAT((in1 << shiftBits), 16),
__SSAT((in2 << shiftBits), 16), 16);
in1 = *pSrc++;
in2 = *pSrc++;
*__SIMD32(pDst)++ = __PKHBT(__SSAT((in1 << shiftBits), 16),
__SSAT((in2 << shiftBits), 16), 16);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A << shiftBits */
/* Shift and then store the results in the destination buffer. */
*pDst++ = __SSAT((*pSrc++ << shiftBits), 16);
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* Read 2 inputs */
in1 = *pSrc++;
in2 = *pSrc++;
/* C = A >> shiftBits */
/* Shift the inputs and then store the results in the destination buffer. */
*__SIMD32(pDst)++ = __PKHBT((in1 >> -shiftBits),
(in2 >> -shiftBits), 16);
in1 = *pSrc++;
in2 = *pSrc++;
*__SIMD32(pDst)++ = __PKHBT((in1 >> -shiftBits),
(in2 >> -shiftBits), 16);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A >> shiftBits */
/* Shift the inputs and then store the results in the destination buffer. */
*pDst++ = (*pSrc++ >> -shiftBits);
/* Decrement the loop counter */
blkCnt--;
}
}
}
/**
* @} end of shift group
*/

124
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_shift_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_shift_q31.c
*
* Description: Shifts the elements of a Q31 vector
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup shift Vector Shift
*
* Shifts the elements of a fixed-point vector by a specified number of bits.
* There are separate functions for Q7, Q15, and Q31 data types.
* The underlying algorithm used is:
*
* <pre>
* pDst[n] = pSrc[n] << shift, 0 <= n < blockSize.
* </pre>
*
* If <code>shift</code> is positive then the elements of the vector are shifted to the left.
* If <code>shift</code> is negative then the elements of the vector are shifted to the right.
*/
/**
* @addtogroup shift
* @{
*/
/**
* @brief Shifts the elements of a Q31 vector a specified number of bits.
* @param *pSrc points to the input vector
* @param shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right.
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated.
*/
void arm_shift_q31(
q31_t * pSrc,
int8_t shiftBits,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
uint32_t sign; /* Sign of shiftBits */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* Getting the sign of shiftBits */
sign = (shiftBits & 0x80000000);
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A (>> or <<) shiftBits */
/* Shift the input and then store the results in the destination buffer. */
*pDst++ = (sign == 0u) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) :
(*pSrc++ >> -shiftBits);
*pDst++ = (sign == 0u) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) :
(*pSrc++ >> -shiftBits);
*pDst++ = (sign == 0u) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) :
(*pSrc++ >> -shiftBits);
*pDst++ = (sign == 0u) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) :
(*pSrc++ >> -shiftBits);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A (>> or <<) shiftBits */
/* Shift the input and then store the result in the destination buffer. */
*pDst++ = (sign == 0u) ? clip_q63_to_q31((q63_t) * pSrc++ << shiftBits) :
(*pSrc++ >> -shiftBits);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of shift group
*/

153
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_shift_q7.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_shift_q7.c
*
* Description: Processing function for the Q7 Shifting
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup shift
* @{
*/
/**
* @brief Shifts the elements of a Q7 vector a specified number of bits.
* @param *pSrc points to the input vector
* @param shiftBits number of bits to shift. A positive value shifts left; a negative value shifts right.
* @param *pDst points to the output vector
* @param blockSize number of samples in the vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q7 range [0x8 0x7F] will be saturated.
*/
void arm_shift_q7(
q7_t * pSrc,
int8_t shiftBits,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
uint8_t sign; /* Sign of shiftBits */
q7_t in1; /* Input value1 */
q7_t in2; /* Input value2 */
q7_t in3; /* Input value3 */
q7_t in4; /* Input value4 */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* Getting the sign of shiftBits */
sign = (shiftBits & 0x80);
/* If the shift value is positive then do right shift else left shift */
if(sign == 0u)
{
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A << shiftBits */
/* Read 4 inputs */
in1 = *pSrc++;
in2 = *pSrc++;
in3 = *pSrc++;
in4 = *pSrc++;
/* Store the Shifted result in the destination buffer in single cycle by packing the outputs */
*__SIMD32(pDst)++ = __PACKq7(__SSAT((in1 << shiftBits), 8),
__SSAT((in2 << shiftBits), 8),
__SSAT((in3 << shiftBits), 8),
__SSAT((in4 << shiftBits), 8));
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A << shiftBits */
/* Shift the input and then store the result in the destination buffer. */
*pDst++ = (q7_t) __SSAT((*pSrc++ << shiftBits), 8);
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A >> shiftBits */
/* Read 4 inputs */
in1 = *pSrc++;
in2 = *pSrc++;
in3 = *pSrc++;
in4 = *pSrc++;
/* Store the Shifted result in the destination buffer in single cycle by packing the outputs */
*__SIMD32(pDst)++ = __PACKq7((in1 >> -shiftBits), (in2 >> -shiftBits),
(in3 >> -shiftBits), (in4 >> -shiftBits));
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A >> shiftBits */
/* Shift the input and then store the result in the destination buffer. */
*pDst++ = (*pSrc++ >> -shiftBits);
/* Decrement the loop counter */
blkCnt--;
}
}
}
/**
* @} end of shift group
*/

106
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_sub_f32.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_sub_f32.c
*
* Description: Floating-point vector subtraction.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* ---------------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @defgroup BasicSub Vector Subtraction
*
* Element-by-element subtraction of two vectors.
*
* <pre>
* pDst[n] = pSrcA[n] - pSrcB[n], 0 <= n < blockSize.
* </pre>
*
* There are separate functions for floating-point, Q7, Q15, and Q31 data types.
*/
/**
* @addtogroup BasicSub
* @{
*/
/**
* @brief Floating-point vector subtraction.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*/
void arm_sub_f32(
float32_t * pSrcA,
float32_t * pSrcB,
float32_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the results in the destination buffer. */
*pDst++ = (*pSrcA++) - (*pSrcB++);
*pDst++ = (*pSrcA++) - (*pSrcB++);
*pDst++ = (*pSrcA++) - (*pSrcB++);
*pDst++ = (*pSrcA++) - (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the results in the destination buffer. */
*pDst++ = (*pSrcA++) - (*pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicSub group
*/

98
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_sub_q15.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_sub_q15.c
*
* Description: Q15 vector subtraction.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicSub
* @{
*/
/**
* @brief Q15 vector subtraction.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.
*/
void arm_sub_q15(
q15_t * pSrcA,
q15_t * pSrcB,
q15_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the results in the destination buffer two samples at a time. */
*__SIMD32(pDst)++ = __QSUB16(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
*__SIMD32(pDst)++ = __QSUB16(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the result in the destination buffer. */
*pDst++ = (q15_t) __QSUB16(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicSub group
*/

99
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_sub_q31.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_sub_q31.c
*
* Description: Q31 vector subtraction.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicSub
* @{
*/
/**
* @brief Q31 vector subtraction.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q31 range [0x80000000 0x7FFFFFFF] will be saturated.
*/
void arm_sub_q31(
q31_t * pSrcA,
q31_t * pSrcB,
q31_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the results in the destination buffer. */
*pDst++ = __QSUB(*pSrcA++, *pSrcB++);
*pDst++ = __QSUB(*pSrcA++, *pSrcB++);
*pDst++ = __QSUB(*pSrcA++, *pSrcB++);
*pDst++ = __QSUB(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the result in the destination buffer. */
*pDst++ = __QSUB(*pSrcA++, *pSrcB++);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicSub group
*/

97
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/BasicMathFunctions/arm_sub_q7.c
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/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_sub_q7.c
*
* Description: Q7 vector subtraction.
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
*
* Version 0.0.7 2010/06/10
* Misra-C changes done
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupMath
*/
/**
* @addtogroup BasicSub
* @{
*/
/**
* @brief Q7 vector subtraction.
* @param[in] *pSrcA points to the first input vector
* @param[in] *pSrcB points to the second input vector
* @param[out] *pDst points to the output vector
* @param[in] blockSize number of samples in each vector
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function uses saturating arithmetic.
* Results outside of the allowable Q7 range [0x80 0x7F] will be saturated.
*/
void arm_sub_q7(
q7_t * pSrcA,
q7_t * pSrcB,
q7_t * pDst,
uint32_t blockSize)
{
uint32_t blkCnt; /* loop counter */
/*loop Unrolling */
blkCnt = blockSize >> 2u;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the results in the destination buffer 4 samples at a time. */
*__SIMD32(pDst)++ = __QSUB8(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4u;
while(blkCnt > 0u)
{
/* C = A - B */
/* Subtract and then store the result in the destination buffer. */
*pDst++ = __SSAT(*pSrcA++ - *pSrcB++, 8);
/* Decrement the loop counter */
blkCnt--;
}
}
/**
* @} end of BasicSub group
*/

141
hardware/sam/system/CMSIS/DSP_Lib/Source/Cortex-M4-M3/CommonTables/arm_common_tables.c
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@ -1,141 +0,0 @@
/* ----------------------------------------------------------------------
* Copyright (C) 2010 ARM Limited. All rights reserved.
*
* $Date: 29. November 2010
* $Revision: V1.0.3
*
* Project: CMSIS DSP Library
* Title: arm_common_tables.c
*
* Description: This file has common tables like Bitreverse, reciprocal etc which are used across different functions
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Version 1.0.3 2010/11/29
* Re-organized the CMSIS folders and updated documentation.
*
* Version 1.0.2 2010/11/11
* Documentation updated.
*
* Version 1.0.1 2010/10/05
* Production release and review comments incorporated.
*
* Version 1.0.0 2010/09/20
* Production release and review comments incorporated.
* -------------------------------------------------------------------- */
#include "arm_math.h"
/**
* @ingroup groupTransforms
*/
/**
* @addtogroup CFFT_CIFFT
* @{
*/
/**
* \par
* Pseudo code for Generation of Bit reversal Table is
* \par
* <pre>for(l=1;l <= N/4;l++)
* {
* for(i=0;i<logN2;i++)
* {
* a[i]=l&(1<<i);
* }
* for(j=0; j<logN2; j++)
* {
* if (a[j]!=0)
* y[l]+=(1<<((logN2-1)-j));
* }
* y[l] = y[l] >> 1;
* } </pre>
* \par
* where N = 1024 logN2 = 10
* \par
* N is the maximum FFT Size supported
*/
/*
* @brief Table for bit reversal process
*/
const uint16_t armBitRevTable[256] = {
0x100, 0x80, 0x180, 0x40, 0x140, 0xc0, 0x1c0,
0x20, 0x120, 0xa0, 0x1a0, 0x60, 0x160, 0xe0,
0x1e0, 0x10, 0x110, 0x90, 0x190, 0x50, 0x150,
0xd0, 0x1d0, 0x30, 0x130, 0xb0, 0x1b0, 0x70,
0x170, 0xf0, 0x1f0, 0x8, 0x108, 0x88, 0x188,
0x48, 0x148, 0xc8, 0x1c8, 0x28, 0x128, 0xa8,
0x1a8, 0x68, 0x168, 0xe8, 0x1e8, 0x18, 0x118,
0x98, 0x198, 0x58, 0x158, 0xd8, 0x1d8, 0x38,
0x138, 0xb8, 0x1b8, 0x78, 0x178, 0xf8, 0x1f8,
0x4, 0x104, 0x84, 0x184, 0x44, 0x144, 0xc4,
0x1c4, 0x24, 0x124, 0xa4, 0x1a4, 0x64, 0x164,
0xe4, 0x1e4, 0x14, 0x114, 0x94, 0x194, 0x54,
0x154, 0xd4, 0x1d4, 0x34, 0x134, 0xb4, 0x1b4,
0x74, 0x174, 0xf4, 0x1f4, 0xc, 0x10c, 0x8c,
0x18c, 0x4c, 0x14c, 0xcc, 0x1cc, 0x2c, 0x12c,
0xac, 0x1ac, 0x6c, 0x16c, 0xec, 0x1ec, 0x1c,
0x11c, 0x9c, 0x19c, 0x5c, 0x15c, 0xdc, 0x1dc,
0x3c, 0x13c, 0xbc, 0x1bc, 0x7c, 0x17c, 0xfc,
0x1fc, 0x2, 0x102, 0x82, 0x182, 0x42, 0x142,
0xc2, 0x1c2, 0x22, 0x122, 0xa2, 0x1a2, 0x62,
0x162, 0xe2, 0x1e2, 0x12, 0x112, 0x92, 0x192,
0x52, 0x152, 0xd2, 0x1d2, 0x32, 0x132, 0xb2,
0x1b2, 0x72, 0x172, 0xf2, 0x1f2, 0xa, 0x10a,
0x8a, 0x18a, 0x4a, 0x14a, 0xca, 0x1ca, 0x2a,
0x12a, 0xaa, 0x1aa, 0x6a, 0x16a, 0xea, 0x1ea,
0x1a, 0x11a, 0x9a, 0x19a, 0x5a, 0x15a, 0xda,
0x1da, 0x3a, 0x13a, 0xba, 0x1ba, 0x7a, 0x17a,
0xfa, 0x1fa, 0x6, 0x106, 0x86, 0x186, 0x46,
0x146, 0xc6, 0x1c6, 0x26, 0x126, 0xa6, 0x1a6,
0x66, 0x166, 0xe6, 0x1e6, 0x16, 0x116, 0x96,
0x196, 0x56, 0x156, 0xd6, 0x1d6, 0x36, 0x136,
0xb6, 0x1b6, 0x76, 0x176, 0xf6, 0x1f6, 0xe,
0x10e, 0x8e, 0x18e, 0x4e, 0x14e, 0xce, 0x1ce,
0x2e, 0x12e, 0xae, 0x1ae, 0x6e, 0x16e, 0xee,
0x1ee, 0x1e, 0x11e, 0x9e, 0x19e, 0x5e, 0x15e,
0xde, 0x1de, 0x3e, 0x13e, 0xbe, 0x1be, 0x7e,
0x17e, 0xfe, 0x1fe, 0x1
};
/**
* @} end of CFFT_CIFFT group
*/
/*
* @brief Q15 table for reciprocal
*/
const q15_t armRecipTableQ15[64] = {
0x7F03, 0x7D13, 0x7B31, 0x795E, 0x7798, 0x75E0,
0x7434, 0x7294, 0x70FF, 0x6F76, 0x6DF6, 0x6C82,
0x6B16, 0x69B5, 0x685C, 0x670C, 0x65C4, 0x6484,
0x634C, 0x621C, 0x60F3, 0x5FD0, 0x5EB5, 0x5DA0,
0x5C91, 0x5B88, 0x5A85, 0x5988, 0x5890, 0x579E,
0x56B0, 0x55C8, 0x54E4, 0x5405, 0x532B, 0x5255,
0x5183, 0x50B6, 0x4FEC, 0x4F26, 0x4E64, 0x4DA6,
0x4CEC, 0x4C34, 0x4B81, 0x4AD0, 0x4A23, 0x4978,
0x48D1, 0x482D, 0x478C, 0x46ED, 0x4651, 0x45B8,
0x4521, 0x448D, 0x43FC, 0x436C, 0x42DF, 0x4255,
0x41CC, 0x4146, 0x40C2, 0x4040
};
/*
* @brief Q31 table for reciprocal
*/
const q31_t armRecipTableQ31[64] = {
0x7F03F03F, 0x7D137420, 0x7B31E739, 0x795E9F94, 0x7798FD29, 0x75E06928,
0x7434554D, 0x72943B4B, 0x70FF9C40, 0x6F760031, 0x6DF6F593, 0x6C8210E3,
0x6B16EC3A, 0x69B526F6, 0x685C655F, 0x670C505D, 0x65C4952D, 0x6484E519,
0x634CF53E, 0x621C7E4F, 0x60F33C61, 0x5FD0EEB3, 0x5EB55785, 0x5DA03BEB,
0x5C9163A1, 0x5B8898E6, 0x5A85A85A, 0x598860DF, 0x58909373, 0x579E1318,
0x56B0B4B8, 0x55C84F0B, 0x54E4BA80, 0x5405D124, 0x532B6E8F, 0x52556FD0,
0x5183B35A, 0x50B618F3, 0x4FEC81A2, 0x4F26CFA2, 0x4E64E64E, 0x4DA6AA1D,
0x4CEC008B, 0x4C34D010, 0x4B810016, 0x4AD078EF, 0x4A2323C4, 0x4978EA96,
0x48D1B827, 0x482D77FE, 0x478C1657, 0x46ED801D, 0x4651A2E5, 0x45B86CE2,
0x4521CCE1, 0x448DB244, 0x43FC0CFA, 0x436CCD78, 0x42DFE4B4, 0x42554426,
0x41CCDDB6, 0x4146A3C6, 0x40C28923, 0x40408102
};

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