CMSIS DSP Software Library: arm_convolution_example_f32.c Source File Main Page Modules Data Structures Files Examples File List Globals arm_convolution_example_f32.c Go to the documentation of this file.00001 /* ---------------------------------------------------------------------- 00002 * Copyright (C) 2010 ARM Limited. All rights reserved. 00003 * 00004 * $Date: 29. November 2010 00005 * $Revision: V1.0.3 00006 * 00007 * Project: CMSIS DSP Library 00008 * Title: arm_convolution_example_f32.c 00009 * 00010 * Description: Example code demonstrating Convolution of two input signals using fft. 00011 * 00012 * Target Processor: Cortex-M4/Cortex-M3 00013 * 00014 * 00015 * Version 1.0.3 2010/11/29 00016 * Re-organized the CMSIS folders and updated documentation. 00017 * 00018 * Version 1.0.1 2010/10/05 KK 00019 * Production release and review comments incorporated. 00020 * 00021 * Version 1.0.0 2010/09/20 KK 00022 * Production release and review comments incorporated. 00023 * ------------------------------------------------------------------- */ 00024 00089 #include "arm_math.h" 00090 #include "math_helper.h" 00091 00092 /* ---------------------------------------------------------------------- 00093 * Defines each of the tests performed 00094 * ------------------------------------------------------------------- */ 00095 #define MAX_BLOCKSIZE 128 00096 #define DELTA (0.000001f) 00097 #define SNR_THRESHOLD 90 00098 00099 /* ---------------------------------------------------------------------- 00100 * Declare I/O buffers 00101 * ------------------------------------------------------------------- */ 00102 float32_t Ak[MAX_BLOCKSIZE]; /* Input A */ 00103 float32_t Bk[MAX_BLOCKSIZE]; /* Input B */ 00104 float32_t AxB[MAX_BLOCKSIZE * 2]; /* Output */ 00105 00106 /* ---------------------------------------------------------------------- 00107 * Test input data for Floating point Convolution example for 32-blockSize 00108 * Generated by the MATLAB randn() function 00109 * ------------------------------------------------------------------- */ 00110 float32_t testInputA_f32[64] = 00111 { 00112 -0.808920, 1.357369, 1.180861, -0.504544, 1.762637, -0.703285, 00113 1.696966, 0.620571, -0.151093, -0.100235, -0.872382, -0.403579, 00114 -0.860749, -0.382648, -1.052338, 0.128113, -0.646269, 1.093377, 00115 -2.209198, 0.471706, 0.408901, 1.266242, 0.598252, 1.176827, 00116 -0.203421, 0.213596, -0.851964, -0.466958, 0.021841, -0.698938, 00117 -0.604107, 0.461778, -0.318219, 0.942520, 0.577585, 0.417619, 00118 0.614665, 0.563679, -1.295073, -0.764437, 0.952194, -0.859222, 00119 -0.618554, -2.268542, -1.210592, 1.655853, -2.627219, -0.994249, 00120 -1.374704, 0.343799, 0.025619, 1.227481, -0.708031, 0.069355, 00121 -1.845228, -1.570886, 1.010668, -1.802084, 1.630088, 1.286090, 00122 -0.161050, -0.940794, 0.367961, 0.291907 00123 00124 }; 00125 00126 float32_t testInputB_f32[64] = 00127 { 00128 0.933724, 0.046881, 1.316470, 0.438345, 0.332682, 2.094885, 00129 0.512081, 0.035546, 0.050894, -2.320371, 0.168711, -1.830493, 00130 -0.444834, -1.003242, -0.531494, -1.365600, -0.155420, -0.757692, 00131 -0.431880, -0.380021, 0.096243, -0.695835, 0.558850, -1.648962, 00132 0.020369, -0.363630, 0.887146, 0.845503, -0.252864, -0.330397, 00133 1.269131, -1.109295, -1.027876, 0.135940, 0.116721, -0.293399, 00134 -1.349799, 0.166078, -0.802201, 0.369367, -0.964568, -2.266011, 00135 0.465178, 0.651222, -0.325426, 0.320245, -0.784178, -0.579456, 00136 0.093374, 0.604778, -0.048225, 0.376297, -0.394412, 0.578182, 00137 -1.218141, -1.387326, 0.692462, -0.631297, 0.153137, -0.638952, 00138 0.635474, -0.970468, 1.334057, -0.111370 00139 }; 00140 00141 const float testRefOutput_f32[126] = 00142 { 00143 -0.818943, 1.229484, -0.533664, 1.016604, 0.341875, -1.963656, 00144 5.171476, 3.478033, 7.616361, 6.648384, 0.479069, 1.792012, 00145 -1.295591, -7.447818, 0.315830, -10.657445, -2.483469, -6.524236, 00146 -7.380591, -3.739005, -8.388957, 0.184147, -1.554888, 3.786508, 00147 -1.684421, 5.400610, -1.578126, 7.403361, 8.315999, 2.080267, 00148 11.077776, 2.749673, 7.138962, 2.748762, 0.660363, 0.981552, 00149 1.442275, 0.552721, -2.576892, 4.703989, 0.989156, 8.759344, 00150 -0.564825, -3.994680, 0.954710, -5.014144, 6.592329, 1.599488, 00151 -13.979146, -0.391891, -4.453369, -2.311242, -2.948764, 1.761415, 00152 -0.138322, 10.433007, -2.309103, 4.297153, 8.535523, 3.209462, 00153 8.695819, 5.569919, 2.514304, 5.582029, 2.060199, 0.642280, 00154 7.024616, 1.686615, -6.481756, 1.343084, -3.526451, 1.099073, 00155 -2.965764, -0.173723, -4.111484, 6.528384, -6.965658, 1.726291, 00156 1.535172, 11.023435, 2.338401, -4.690188, 1.298210, 3.943885, 00157 8.407885, 5.168365, 0.684131, 1.559181, 1.859998, 2.852417, 00158 8.574070, -6.369078, 6.023458, 11.837963, -6.027632, 4.469678, 00159 -6.799093, -2.674048, 6.250367, -6.809971, -3.459360, 9.112410, 00160 -2.711621, -1.336678, 1.564249, -1.564297, -1.296760, 8.904013, 00161 -3.230109, 6.878013, -7.819823, 3.369909, -1.657410, -2.007358, 00162 -4.112825, 1.370685, -3.420525, -6.276605, 3.244873, -3.352638, 00163 1.545372, 0.902211, 0.197489, -1.408732, 0.523390, 0.348440 00164 }; 00165 00166 00167 /* ---------------------------------------------------------------------- 00168 * Declare Global variables 00169 * ------------------------------------------------------------------- */ 00170 uint32_t srcALen = 64; /* Length of Input A */ 00171 uint32_t srcBLen = 64; /* Length of Input B */ 00172 uint32_t outLen; /* Length of convolution output */ 00173 float32_t snr; /* output SNR */ 00174 00175 int32_t main(void) 00176 { 00177 arm_status status; /* Status of the example */ 00178 arm_cfft_radix4_instance_f32 cfft_instance; /* CFFT Structure instance */ 00179 00180 /* CFFT Structure instance pointer */ 00181 arm_cfft_radix4_instance_f32 *cfft_instance_ptr = 00182 (arm_cfft_radix4_instance_f32*) &cfft_instance; 00183 00184 /* output length of convolution */ 00185 outLen = srcALen + srcBLen - 1; 00186 00187 /* Initialise the fft input buffers with all zeros */ 00188 arm_fill_f32(0.0, Ak, MAX_BLOCKSIZE); 00189 arm_fill_f32(0.0, Bk, MAX_BLOCKSIZE); 00190 00191 /* Copy the input values to the fft input buffers */ 00192 arm_copy_f32(testInputA_f32, Ak, MAX_BLOCKSIZE/2); 00193 arm_copy_f32(testInputB_f32, Bk, MAX_BLOCKSIZE/2); 00194 00195 /* Initialize the CFFT function to compute 64 point fft */ 00196 status = arm_cfft_radix4_init_f32(cfft_instance_ptr, 64, 0, 1); 00197 00198 /* Transform input a[n] from time domain to frequency domain A[k] */ 00199 arm_cfft_radix4_f32(cfft_instance_ptr, Ak); 00200 /* Transform input b[n] from time domain to frequency domain B[k] */ 00201 arm_cfft_radix4_f32(cfft_instance_ptr, Bk); 00202 00203 /* Complex Multiplication of the two input buffers in frequency domain */ 00204 arm_cmplx_mult_cmplx_f32(Ak, Bk, AxB, MAX_BLOCKSIZE/2); 00205 00206 /* Initialize the CIFFT function to compute 64 point ifft */ 00207 status = arm_cfft_radix4_init_f32(cfft_instance_ptr, 64, 1, 1); 00208 00209 /* Transform the multiplication output from frequency domain to time domain, 00210 that gives the convolved output */ 00211 arm_cfft_radix4_f32(cfft_instance_ptr, AxB); 00212 00213 /* SNR Calculation */ 00214 snr = arm_snr_f32((float32_t *)testRefOutput_f32, AxB, srcALen + srcBLen - 1); 00215 00216 /* Compare the SNR with threshold to test whether the 00217 computed output is matched with the reference output values. */ 00218 if( snr > SNR_THRESHOLD) 00219 { 00220 status = ARM_MATH_SUCCESS; 00221 } 00222 00223 if( status != ARM_MATH_SUCCESS) 00224 { 00225 while(1); 00226 } 00227 } 00228  All Data Structures Files Functions Variables Typedefs Enumerations Enumerator Defines Generated on Mon Nov 29 2010 17:19:56 for CMSIS DSP Software Library by  1.7.2