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  45 <h1>arm_convolution_example_f32.c</h1>  </div>
  46 </div>
  47 <div class="contents">
  48 <div class="fragment"><pre class="fragment"><span class="comment">/* ---------------------------------------------------------------------- </span>
  49 <span class="comment">* Copyright (C) 2010 ARM Limited. All rights reserved.   </span>
  50 <span class="comment">*  </span>
  51 <span class="comment">* $Date:        29. November 2010  </span>
  52 <span class="comment">* $Revision:    V1.0.3 </span>
  53 <span class="comment">*  </span>
  54 <span class="comment">* Project:      CMSIS DSP Library  </span>
  55 <span class="comment">* Title:        arm_convolution_example_f32.c         </span>
  56 <span class="comment">*  </span>
  57 <span class="comment">* Description:  Example code demonstrating Convolution of two input signals using fft. </span>
  58 <span class="comment">* </span>
  59 <span class="comment">* Target Processor: Cortex-M4/Cortex-M3  </span>
  60 <span class="comment">*</span>
  61 <span class="comment">*</span>
  62 <span class="comment">* Version 1.0.3 2010/11/29 </span>
  63 <span class="comment">*    Re-organized the CMSIS folders and updated documentation. </span>
  64 <span class="comment">* </span>
  65 <span class="comment">* Version 1.0.1 2010/10/05 KK </span>
  66 <span class="comment">*    Production release and review comments incorporated.  </span>
  67 <span class="comment">*</span>
  68 <span class="comment">* Version 1.0.0 2010/09/20 KK</span>
  69 <span class="comment">*    Production release and review comments incorporated.</span>
  70 <span class="comment">* ------------------------------------------------------------------- */</span>
  71
  72 <span class="preprocessor">#include &quot;<a class="code" href="arm__math_8h.html">arm_math.h</a>&quot;</span>
  73 <span class="preprocessor">#include &quot;math_helper.h&quot;</span>
  74
  75 <span class="comment">/* ---------------------------------------------------------------------- </span>
  76 <span class="comment">* Defines each of the tests performed </span>
  77 <span class="comment">* ------------------------------------------------------------------- */</span>
  78 <span class="preprocessor">#define MAX_BLOCKSIZE   128 </span>
  79 <span class="preprocessor"></span><span class="preprocessor">#define DELTA           (0.000001f) </span>
  80 <span class="preprocessor"></span><span class="preprocessor">#define SNR_THRESHOLD   90 </span>
  81 <span class="preprocessor"></span>
  82 <span class="comment">/* ---------------------------------------------------------------------- </span>
  83 <span class="comment">* Declare I/O buffers  </span>
  84 <span class="comment">* ------------------------------------------------------------------- */</span>
  85 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a0"></a><a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>[<a name="a1"></a><a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>];        <span class="comment">/* Input A */</span>
  86 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a2"></a><a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>[<a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>];        <span class="comment">/* Input B */</span>
  87 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a3"></a><a class="code" href="arm__convolution__example__f32_8c.html#a13521f3164dc55679f43b7cb2e41e098">AxB</a>[<a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a> * 2];   <span class="comment">/* Output */</span>
  88
  89 <span class="comment">/* ---------------------------------------------------------------------- </span>
  90 <span class="comment">* Test input data for Floating point Convolution example for 32-blockSize </span>
  91 <span class="comment">* Generated by the MATLAB randn() function </span>
  92 <span class="comment">* ------------------------------------------------------------------- */</span>
  93 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a4"></a><a class="code" href="arm__convolution__example__f32_8c.html#a7db2f016e1afcb524a2fdc3c5a3cb640">testInputA_f32</a>[64] =
  94 {
  95 -0.808920,  1.357369,   1.180861,   -0.504544,  1.762637,   -0.703285,
  96 1.696966,   0.620571,   -0.151093,  -0.100235,  -0.872382,  -0.403579,
  97 -0.860749,  -0.382648,  -1.052338,  0.128113,   -0.646269,  1.093377,
  98 -2.209198,  0.471706,   0.408901,   1.266242,   0.598252,   1.176827,
  99 -0.203421,  0.213596,   -0.851964,  -0.466958,  0.021841,   -0.698938,
 100 -0.604107,  0.461778,   -0.318219,  0.942520,   0.577585,   0.417619,
 101 0.614665,   0.563679,   -1.295073,  -0.764437,  0.952194,   -0.859222,
 102 -0.618554,  -2.268542,  -1.210592,  1.655853,   -2.627219,  -0.994249,
 103 -1.374704,  0.343799,   0.025619,   1.227481,   -0.708031,  0.069355,
 104 -1.845228,  -1.570886,  1.010668,   -1.802084,  1.630088,   1.286090,
 105 -0.161050,  -0.940794,  0.367961,   0.291907
 106
 107 };
 108
 109 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a5"></a><a class="code" href="arm__convolution__example__f32_8c.html#acb22287e7e096b677e352dfd363ba60d">testInputB_f32</a>[64] =
 110 {
 111 0.933724,   0.046881,   1.316470,   0.438345,   0.332682,   2.094885,
 112 0.512081,   0.035546,   0.050894,   -2.320371,  0.168711,   -1.830493,
 113 -0.444834,  -1.003242,  -0.531494,  -1.365600,  -0.155420,  -0.757692,
 114 -0.431880,  -0.380021,  0.096243,   -0.695835,  0.558850,   -1.648962,
 115 0.020369,   -0.363630,  0.887146,   0.845503,   -0.252864,  -0.330397,
 116 1.269131,   -1.109295,  -1.027876,  0.135940,   0.116721,   -0.293399,
 117 -1.349799,  0.166078,   -0.802201,  0.369367,   -0.964568,  -2.266011,
 118 0.465178,   0.651222,   -0.325426,  0.320245,   -0.784178,  -0.579456,
 119 0.093374,   0.604778,   -0.048225,  0.376297,   -0.394412,  0.578182,
 120 -1.218141,  -1.387326,  0.692462,   -0.631297,  0.153137,   -0.638952,
 121 0.635474,   -0.970468,  1.334057,   -0.111370
 122 };
 123
 124 <span class="keyword">const</span> <span class="keywordtype">float</span> <a name="a6"></a><a class="code" href="arm__convolution__example__f32_8c.html#a6463f7327432fc62ad9f6017593330d3">testRefOutput_f32</a>[126] =
 125 {
 126 -0.818943,  1.229484,   -0.533664,  1.016604,   0.341875,   -1.963656,
 127 5.171476,   3.478033,   7.616361,   6.648384,   0.479069,   1.792012,
 128 -1.295591,  -7.447818,  0.315830,   -10.657445, -2.483469,  -6.524236,
 129 -7.380591,  -3.739005,  -8.388957,  0.184147,   -1.554888,  3.786508,
 130 -1.684421,  5.400610,   -1.578126,  7.403361,   8.315999,   2.080267,
 131 11.077776,  2.749673,   7.138962,   2.748762,   0.660363,   0.981552,
 132 1.442275,   0.552721,   -2.576892,  4.703989,   0.989156,   8.759344,
 133 -0.564825,  -3.994680,  0.954710,   -5.014144,  6.592329,   1.599488,
 134 -13.979146, -0.391891,  -4.453369,  -2.311242,  -2.948764,  1.761415,
 135 -0.138322,  10.433007,  -2.309103,  4.297153,   8.535523,   3.209462,
 136 8.695819,   5.569919,   2.514304,   5.582029,   2.060199,   0.642280,
 137 7.024616,   1.686615,   -6.481756,  1.343084,   -3.526451,  1.099073,
 138 -2.965764,  -0.173723,  -4.111484,  6.528384,   -6.965658,  1.726291,
 139 1.535172,   11.023435,  2.338401,   -4.690188,  1.298210,   3.943885,
 140 8.407885,   5.168365,   0.684131,   1.559181,   1.859998,   2.852417,
 141 8.574070,   -6.369078,  6.023458,   11.837963,  -6.027632,  4.469678,
 142 -6.799093,  -2.674048,  6.250367,   -6.809971,  -3.459360,  9.112410,
 143 -2.711621,  -1.336678,  1.564249,   -1.564297,  -1.296760,  8.904013,
 144 -3.230109,  6.878013,   -7.819823,  3.369909,   -1.657410,  -2.007358,
 145 -4.112825,  1.370685,   -3.420525,  -6.276605,  3.244873,   -3.352638,
 146 1.545372,   0.902211,   0.197489,   -1.408732,  0.523390,   0.348440
 147 };
 148
 149
 150 <span class="comment">/* ---------------------------------------------------------------------- </span>
 151 <span class="comment">* Declare Global variables  </span>
 152 <span class="comment">* ------------------------------------------------------------------- */</span>
 153 uint32_t <a name="a7"></a><a class="code" href="arm__convolution__example__f32_8c.html#ace48ed566e2cd6a680f0681192e6af28">srcALen</a> = 64;   <span class="comment">/* Length of Input A */</span>
 154 uint32_t <a name="a8"></a><a class="code" href="arm__convolution__example__f32_8c.html#aea71286f498978c5ed3775609b974fc8">srcBLen</a> = 64;   <span class="comment">/* Length of Input B */</span>
 155 uint32_t <a name="a9"></a><a class="code" href="arm__convolution__example__f32_8c.html#a9c49c44c8bc5c432d220d33a26b4b589">outLen</a>;         <span class="comment">/* Length of convolution output */</span>
 156 <a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> <a name="a10"></a><a class="code" href="arm__convolution__example__f32_8c.html#af06013f588a7003278de222913c9d819">snr</a>;           <span class="comment">/* output SNR */</span>
 157
 158 int32_t <a name="a11"></a><a class="code" href="arm__class__marks__example__f32_8c.html#a196718f834091385d38586a0ce4009dc">main</a>(<span class="keywordtype">void</span>)
 159 {
 160     <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6" title="Error status returned by some functions in the library.">arm_status</a> <a name="a12"></a><a class="code" href="arm__dotproduct__example__f32_8c.html#a88ccb294236ab22b00310c47164c53c3">status</a>;     <span class="comment">/* Status of the example */</span>
 161     <a name="_a13"></a><a class="code" href="structarm__cfft__radix4__instance__f32.html" title="Instance structure for the floating-point CFFT/CIFFT function.">arm_cfft_radix4_instance_f32</a> cfft_instance; <span class="comment">/* CFFT Structure instance */</span>
 162
 163     <span class="comment">/* CFFT Structure instance pointer */</span>
 164     <a class="code" href="structarm__cfft__radix4__instance__f32.html" title="Instance structure for the floating-point CFFT/CIFFT function.">arm_cfft_radix4_instance_f32</a> *cfft_instance_ptr =
 165             (<a class="code" href="structarm__cfft__radix4__instance__f32.html" title="Instance structure for the floating-point CFFT/CIFFT function.">arm_cfft_radix4_instance_f32</a>*) &amp;cfft_instance;
 166
 167     <span class="comment">/* output length of convolution */</span>
 168     <a class="code" href="arm__convolution__example__f32_8c.html#a9c49c44c8bc5c432d220d33a26b4b589">outLen</a> = <a class="code" href="arm__convolution__example__f32_8c.html#ace48ed566e2cd6a680f0681192e6af28">srcALen</a> + <a class="code" href="arm__convolution__example__f32_8c.html#aea71286f498978c5ed3775609b974fc8">srcBLen</a> - 1;
 169
 170     <span class="comment">/* Initialise the fft input buffers with all zeros */</span>
 171     <a name="a14"></a><a class="code" href="group___fill.html#ga2248e8d3901b4afb7827163132baad94" title="Fills a constant value into a floating-point vector.">arm_fill_f32</a>(0.0,  <a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>, <a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>);
 172     <a class="code" href="group___fill.html#ga2248e8d3901b4afb7827163132baad94" title="Fills a constant value into a floating-point vector.">arm_fill_f32</a>(0.0,  <a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>, <a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>);
 173
 174     <span class="comment">/* Copy the input values to the fft input buffers */</span>
 175     <a name="a15"></a><a class="code" href="group__copy.html#gadd1f737e677e0e6ca31767c7001417b3" title="Copies the elements of a floating-point vector.">arm_copy_f32</a>(<a class="code" href="arm__convolution__example__f32_8c.html#a7db2f016e1afcb524a2fdc3c5a3cb640">testInputA_f32</a>,  <a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>, <a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>/2);
 176     <a class="code" href="group__copy.html#gadd1f737e677e0e6ca31767c7001417b3" title="Copies the elements of a floating-point vector.">arm_copy_f32</a>(<a class="code" href="arm__convolution__example__f32_8c.html#acb22287e7e096b677e352dfd363ba60d">testInputB_f32</a>,  <a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>, <a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>/2);
 177
 178     <span class="comment">/* Initialize the CFFT function to compute 64 point fft */</span>
 179     status = <a name="a16"></a><a class="code" href="group___c_f_f_t___c_i_f_f_t.html#gaf336459f684f0b17bfae539ef1b1b78a" title="Initialization function for the floating-point CFFT/CIFFT.">arm_cfft_radix4_init_f32</a>(cfft_instance_ptr, 64, 0, 1);
 180
 181     <span class="comment">/* Transform input a[n] from time domain to frequency domain A[k] */</span>
 182     <a name="a17"></a><a class="code" href="group___c_f_f_t___c_i_f_f_t.html#ga521f670cd9c571bc61aff9bec89f4c26" title="Processing function for the floating-point CFFT/CIFFT.">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>);
 183     <span class="comment">/* Transform input b[n] from time domain to frequency domain B[k] */</span>
 184     <a class="code" href="group___c_f_f_t___c_i_f_f_t.html#ga521f670cd9c571bc61aff9bec89f4c26" title="Processing function for the floating-point CFFT/CIFFT.">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>);
 185
 186     <span class="comment">/* Complex Multiplication of the two input buffers in frequency domain */</span>
 187     <a name="a18"></a><a class="code" href="group___cmplx_by_cmplx_mult.html#ga14b47080054a1ba1250a86805be1ff6b" title="Floating-point complex-by-complex multiplication.">arm_cmplx_mult_cmplx_f32</a>(<a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>, <a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>, <a class="code" href="arm__convolution__example__f32_8c.html#a13521f3164dc55679f43b7cb2e41e098">AxB</a>, <a class="code" href="arm__convolution__example__f32_8c.html#af8a1d2ed31f7c9a00fec46a798edb61b">MAX_BLOCKSIZE</a>/2);
 188
 189     <span class="comment">/* Initialize the CIFFT function to compute 64 point ifft */</span>
 190     status = <a class="code" href="group___c_f_f_t___c_i_f_f_t.html#gaf336459f684f0b17bfae539ef1b1b78a" title="Initialization function for the floating-point CFFT/CIFFT.">arm_cfft_radix4_init_f32</a>(cfft_instance_ptr, 64, 1, 1);
 191
 192     <span class="comment">/* Transform the multiplication output from frequency domain to time domain, </span>
 193 <span class="comment">       that gives the convolved output  */</span>
 194     <a class="code" href="group___c_f_f_t___c_i_f_f_t.html#ga521f670cd9c571bc61aff9bec89f4c26" title="Processing function for the floating-point CFFT/CIFFT.">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#a13521f3164dc55679f43b7cb2e41e098">AxB</a>);
 195
 196     <span class="comment">/* SNR Calculation */</span>
 197     <a class="code" href="arm__convolution__example__f32_8c.html#af06013f588a7003278de222913c9d819">snr</a> = arm_snr_f32((<a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715" title="32-bit floating-point type definition.">float32_t</a> *)<a class="code" href="arm__convolution__example__f32_8c.html#a6463f7327432fc62ad9f6017593330d3">testRefOutput_f32</a>, <a class="code" href="arm__convolution__example__f32_8c.html#a13521f3164dc55679f43b7cb2e41e098">AxB</a>, <a class="code" href="arm__convolution__example__f32_8c.html#ace48ed566e2cd6a680f0681192e6af28">srcALen</a> + srcBLen - 1);
 198
 199     <span class="comment">/* Compare the SNR with threshold to test whether the  </span>
 200 <span class="comment">       computed output is matched with the reference output values. */</span>
 201     <span class="keywordflow">if</span>( <a class="code" href="arm__convolution__example__f32_8c.html#af06013f588a7003278de222913c9d819">snr</a> &gt; <a name="a19"></a><a class="code" href="arm__convolution__example__f32_8c.html#af08ec3fef897d77c6817638bf0e0c5c6">SNR_THRESHOLD</a>)
 202     {
 203         status = <a name="a20"></a><a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>;
 204     }
 205
 206     <span class="keywordflow">if</span>( status != <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>)
 207     {
 208       <span class="keywordflow">while</span>(1);
 209     }
 210 }
 211
 212 </pre></div> </div>
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