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<div class="title">arm_convolution_example_f32.c</div> </div>
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<div class="contents">
<div class="fragment"><div class="line"><span class="comment">/* ----------------------------------------------------------------------</span></div>
<div class="line"><span class="comment">* Copyright (C) 2010-2012 ARM Limited. All rights reserved.</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* $Date: 17. January 2013</span></div>
<div class="line"><span class="comment">* $Revision: V1.4.0</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* Project: CMSIS DSP Library</span></div>
<div class="line"><span class="comment">* Title: arm_convolution_example_f32.c</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* Description: Example code demonstrating Convolution of two input signals using fft.</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* Target Processor: Cortex-M4/Cortex-M3</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><span class="comment">* modification, are permitted provided that the following conditions</span></div>
<div class="line"><span class="comment">* are met:</span></div>
<div class="line"><span class="comment">* - Redistributions of source code must retain the above copyright</span></div>
<div class="line"><span class="comment">* notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><span class="comment">* - Redistributions in binary form must reproduce the above copyright</span></div>
<div class="line"><span class="comment">* notice, this list of conditions and the following disclaimer in</span></div>
<div class="line"><span class="comment">* the documentation and/or other materials provided with the</span></div>
<div class="line"><span class="comment">* distribution.</span></div>
<div class="line"><span class="comment">* - Neither the name of ARM LIMITED nor the names of its contributors</span></div>
<div class="line"><span class="comment">* may be used to endorse or promote products derived from this</span></div>
<div class="line"><span class="comment">* software without specific prior written permission.</span></div>
<div class="line"><span class="comment">*</span></div>
<div class="line"><span class="comment">* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span></div>
<div class="line"><span class="comment">* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT</span></div>
<div class="line"><span class="comment">* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS</span></div>
<div class="line"><span class="comment">* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE</span></div>
<div class="line"><span class="comment">* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,</span></div>
<div class="line"><span class="comment">* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div>
<div class="line"><span class="comment">* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;</span></div>
<div class="line"><span class="comment">* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER</span></div>
<div class="line"><span class="comment">* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT</span></div>
<div class="line"><span class="comment">* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN</span></div>
<div class="line"><span class="comment">* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE</span></div>
<div class="line"><span class="comment">* POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><span class="comment">* -------------------------------------------------------------------- */</span></div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="arm__math_8h.html">arm_math.h</a>"</span></div>
<div class="line"><span class="preprocessor">#include "math_helper.h"</span></div>
<div class="line"></div>
<div class="line"><span class="comment">/* ----------------------------------------------------------------------</span></div>
<div class="line"><span class="comment">* Defines each of the tests performed</span></div>
<div class="line"><span class="comment">* ------------------------------------------------------------------- */</span></div>
<div class="line"><span class="preprocessor">#define MAX_BLOCKSIZE 128</span></div>
<div class="line"><span class="preprocessor"></span><span class="preprocessor">#define DELTA (0.000001f)</span></div>
<div class="line"><span class="preprocessor"></span><span class="preprocessor">#define SNR_THRESHOLD 90</span></div>
<div class="line"><span class="preprocessor"></span></div>
<div class="line"><span class="comment">/* ----------------------------------------------------------------------</span></div>
<div class="line"><span class="comment">* Declare I/O buffers</span></div>
<div class="line"><span class="comment">* ------------------------------------------------------------------- */</span></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">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></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">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></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">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></div>
<div class="line"></div>
<div class="line"><span class="comment">/* ----------------------------------------------------------------------</span></div>
<div class="line"><span class="comment">* Test input data for Floating point Convolution example for 32-blockSize</span></div>
<div class="line"><span class="comment">* Generated by the MATLAB randn() function</span></div>
<div class="line"><span class="comment">* ------------------------------------------------------------------- */</span></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> <a name="a4"></a><a class="code" href="arm__convolution__example__f32_8c.html#a7db2f016e1afcb524a2fdc3c5a3cb640">testInputA_f32</a>[64] =</div>
<div class="line">{</div>
<div class="line"> -0.808920, 1.357369, 1.180861, -0.504544, 1.762637, -0.703285,</div>
<div class="line"> 1.696966, 0.620571, -0.151093, -0.100235, -0.872382, -0.403579,</div>
<div class="line"> -0.860749, -0.382648, -1.052338, 0.128113, -0.646269, 1.093377,</div>
<div class="line"> -2.209198, 0.471706, 0.408901, 1.266242, 0.598252, 1.176827,</div>
<div class="line"> -0.203421, 0.213596, -0.851964, -0.466958, 0.021841, -0.698938,</div>
<div class="line"> -0.604107, 0.461778, -0.318219, 0.942520, 0.577585, 0.417619,</div>
<div class="line"> 0.614665, 0.563679, -1.295073, -0.764437, 0.952194, -0.859222,</div>
<div class="line"> -0.618554, -2.268542, -1.210592, 1.655853, -2.627219, -0.994249,</div>
<div class="line"> -1.374704, 0.343799, 0.025619, 1.227481, -0.708031, 0.069355,</div>
<div class="line"> -1.845228, -1.570886, 1.010668, -1.802084, 1.630088, 1.286090,</div>
<div class="line"> -0.161050, -0.940794, 0.367961, 0.291907</div>
<div class="line"></div>
<div class="line">};</div>
<div class="line"></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> <a name="a5"></a><a class="code" href="arm__convolution__example__f32_8c.html#acb22287e7e096b677e352dfd363ba60d">testInputB_f32</a>[64] =</div>
<div class="line">{</div>
<div class="line"> 0.933724, 0.046881, 1.316470, 0.438345, 0.332682, 2.094885,</div>
<div class="line"> 0.512081, 0.035546, 0.050894, -2.320371, 0.168711, -1.830493,</div>
<div class="line"> -0.444834, -1.003242, -0.531494, -1.365600, -0.155420, -0.757692,</div>
<div class="line"> -0.431880, -0.380021, 0.096243, -0.695835, 0.558850, -1.648962,</div>
<div class="line"> 0.020369, -0.363630, 0.887146, 0.845503, -0.252864, -0.330397,</div>
<div class="line"> 1.269131, -1.109295, -1.027876, 0.135940, 0.116721, -0.293399,</div>
<div class="line"> -1.349799, 0.166078, -0.802201, 0.369367, -0.964568, -2.266011,</div>
<div class="line"> 0.465178, 0.651222, -0.325426, 0.320245, -0.784178, -0.579456,</div>
<div class="line"> 0.093374, 0.604778, -0.048225, 0.376297, -0.394412, 0.578182,</div>
<div class="line"> -1.218141, -1.387326, 0.692462, -0.631297, 0.153137, -0.638952,</div>
<div class="line"> 0.635474, -0.970468, 1.334057, -0.111370</div>
<div class="line">};</div>
<div class="line"></div>
<div class="line"><span class="keyword">const</span> <span class="keywordtype">float</span> <a name="a6"></a><a class="code" href="arm__convolution__example__f32_8c.html#a7ede41b07b8766013744c8fdbb80af75">testRefOutput_f32</a>[127] =</div>
<div class="line">{</div>
<div class="line"> -0.818943, 1.229484, -0.533664, 1.016604, 0.341875, -1.963656,</div>
<div class="line"> 5.171476, 3.478033, 7.616361, 6.648384, 0.479069, 1.792012,</div>
<div class="line"> -1.295591, -7.447818, 0.315830, -10.657445, -2.483469, -6.524236,</div>
<div class="line"> -7.380591, -3.739005, -8.388957, 0.184147, -1.554888, 3.786508,</div>
<div class="line"> -1.684421, 5.400610, -1.578126, 7.403361, 8.315999, 2.080267,</div>
<div class="line"> 11.077776, 2.749673, 7.138962, 2.748762, 0.660363, 0.981552,</div>
<div class="line"> 1.442275, 0.552721, -2.576892, 4.703989, 0.989156, 8.759344,</div>
<div class="line"> -0.564825, -3.994680, 0.954710, -5.014144, 6.592329, 1.599488,</div>
<div class="line"> -13.979146, -0.391891, -4.453369, -2.311242, -2.948764, 1.761415,</div>
<div class="line"> -0.138322, 10.433007, -2.309103, 4.297153, 8.535523, 3.209462,</div>
<div class="line"> 8.695819, 5.569919, 2.514304, 5.582029, 2.060199, 0.642280,</div>
<div class="line"> 7.024616, 1.686615, -6.481756, 1.343084, -3.526451, 1.099073,</div>
<div class="line"> -2.965764, -0.173723, -4.111484, 6.528384, -6.965658, 1.726291,</div>
<div class="line"> 1.535172, 11.023435, 2.338401, -4.690188, 1.298210, 3.943885,</div>
<div class="line"> 8.407885, 5.168365, 0.684131, 1.559181, 1.859998, 2.852417,</div>
<div class="line"> 8.574070, -6.369078, 6.023458, 11.837963, -6.027632, 4.469678,</div>
<div class="line"> -6.799093, -2.674048, 6.250367, -6.809971, -3.459360, 9.112410,</div>
<div class="line"> -2.711621, -1.336678, 1.564249, -1.564297, -1.296760, 8.904013,</div>
<div class="line"> -3.230109, 6.878013, -7.819823, 3.369909, -1.657410, -2.007358,</div>
<div class="line"> -4.112825, 1.370685, -3.420525, -6.276605, 3.244873, -3.352638,</div>
<div class="line"> 1.545372, 0.902211, 0.197489, -1.408732, 0.523390, 0.348440, 0</div>
<div class="line">};</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">/* ----------------------------------------------------------------------</span></div>
<div class="line"><span class="comment">* Declare Global variables</span></div>
<div class="line"><span class="comment">* ------------------------------------------------------------------- */</span></div>
<div class="line">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></div>
<div class="line">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></div>
<div class="line">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></div>
<div class="line"><a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">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></div>
<div class="line"></div>
<div class="line">int32_t <a name="a11"></a><a class="code" href="arm__convolution__example__f32_8c.html#a52d2cba30e6946c95578be946ac12a65">main</a>(<span class="keywordtype">void</span>)</div>
<div class="line">{</div>
<div class="line"> <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6">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></div>
<div class="line"> <a name="_a13"></a><a class="code" href="structarm__cfft__radix4__instance__f32.html">arm_cfft_radix4_instance_f32</a> cfft_instance; <span class="comment">/* CFFT Structure instance */</span></div>
<div class="line"></div>
<div class="line"> <span class="comment">/* CFFT Structure instance pointer */</span></div>
<div class="line"> <a class="code" href="structarm__cfft__radix4__instance__f32.html">arm_cfft_radix4_instance_f32</a> *cfft_instance_ptr =</div>
<div class="line"> (<a class="code" href="structarm__cfft__radix4__instance__f32.html">arm_cfft_radix4_instance_f32</a>*) &cfft_instance;</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* output length of convolution */</span></div>
<div class="line"> <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;</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Initialise the fft input buffers with all zeros */</span></div>
<div class="line"> <a name="a14"></a><a class="code" href="group__Fill.html#ga2248e8d3901b4afb7827163132baad94">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>);</div>
<div class="line"> <a class="code" href="group__Fill.html#ga2248e8d3901b4afb7827163132baad94">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>);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Copy the input values to the fft input buffers */</span></div>
<div class="line"> <a name="a15"></a><a class="code" href="group__copy.html#gaa6dfe9554ca61eb3d1eee498396bce88">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);</div>
<div class="line"> <a class="code" href="group__copy.html#gaa6dfe9554ca61eb3d1eee498396bce88">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);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Initialize the CFFT function to compute 64 point fft */</span></div>
<div class="line"> status = <a name="a16"></a><a class="code" href="group__ComplexFFT.html#gaf336459f684f0b17bfae539ef1b1b78a">arm_cfft_radix4_init_f32</a>(cfft_instance_ptr, 64, 0, 1);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Transform input a[n] from time domain to frequency domain A[k] */</span></div>
<div class="line"> <a name="a17"></a><a class="code" href="group__ComplexFFT.html#ga521f670cd9c571bc61aff9bec89f4c26">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#aed74eacd4b96cc7f71b64d18f2e95705">Ak</a>);</div>
<div class="line"> <span class="comment">/* Transform input b[n] from time domain to frequency domain B[k] */</span></div>
<div class="line"> <a class="code" href="group__ComplexFFT.html#ga521f670cd9c571bc61aff9bec89f4c26">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#a88a0167516ae7ed66203fd60e6ddeea3">Bk</a>);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Complex Multiplication of the two input buffers in frequency domain */</span></div>
<div class="line"> <a name="a18"></a><a class="code" href="group__CmplxByCmplxMult.html#gae221504b01e4abfe5f335eafd801b4ed">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);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Initialize the CIFFT function to compute 64 point ifft */</span></div>
<div class="line"> status = <a class="code" href="group__ComplexFFT.html#gaf336459f684f0b17bfae539ef1b1b78a">arm_cfft_radix4_init_f32</a>(cfft_instance_ptr, 64, 1, 1);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Transform the multiplication output from frequency domain to time domain,</span></div>
<div class="line"><span class="comment"> that gives the convolved output */</span></div>
<div class="line"> <a class="code" href="group__ComplexFFT.html#ga521f670cd9c571bc61aff9bec89f4c26">arm_cfft_radix4_f32</a>(cfft_instance_ptr, <a class="code" href="arm__convolution__example__f32_8c.html#a13521f3164dc55679f43b7cb2e41e098">AxB</a>);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* SNR Calculation */</span></div>
<div class="line"> <a class="code" href="arm__convolution__example__f32_8c.html#af06013f588a7003278de222913c9d819">snr</a> = <a name="a19"></a><a class="code" href="arm__convolution__example_2math__helper_8c.html#aeea2952e70a1040a6efa555564bbeeab">arm_snr_f32</a>((<a class="code" href="arm__math_8h.html#a4611b605e45ab401f02cab15c5e38715">float32_t</a> *)<a class="code" href="arm__convolution__example__f32_8c.html#a7ede41b07b8766013744c8fdbb80af75">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);</div>
<div class="line"></div>
<div class="line"> <span class="comment">/* Compare the SNR with threshold to test whether the</span></div>
<div class="line"><span class="comment"> computed output is matched with the reference output values. */</span></div>
<div class="line"> <span class="keywordflow">if</span> ( <a class="code" href="arm__convolution__example__f32_8c.html#af06013f588a7003278de222913c9d819">snr</a> > <a name="a20"></a><a class="code" href="arm__convolution__example__f32_8c.html#af08ec3fef897d77c6817638bf0e0c5c6">SNR_THRESHOLD</a>)</div>
<div class="line"> {</div>
<div class="line"> status = <a name="a21"></a><a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>;</div>
<div class="line"> }</div>
<div class="line"></div>
<div class="line"> <span class="keywordflow">if</span> ( status != <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>)</div>
<div class="line"> {</div>
<div class="line"> <span class="keywordflow">while</span> (1);</div>
<div class="line"> }</div>
<div class="line"></div>
<div class="line"> <span class="keywordflow">while</span> (1); <span class="comment">/* main function does not return */</span></div>
<div class="line">}</div>
<div class="line"></div>
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