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<h1>arm_convolution_example_f32.c</h1> </div>
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<div class="fragment"><pre class="fragment"><span class="comment">/* ---------------------------------------------------------------------- </span>
<span class="comment">* Copyright (C) 2010 ARM Limited. All rights reserved. </span>
<span class="comment">* </span>
<span class="comment">* $Date: 29. November 2010 </span>
<span class="comment">* $Revision: V1.0.3 </span>
<span class="comment">* </span>
<span class="comment">* Project: CMSIS DSP Library </span>
<span class="comment">* Title: arm_convolution_example_f32.c </span>
<span class="comment">* </span>
<span class="comment">* Description: Example code demonstrating Convolution of two input signals using fft. </span>
<span class="comment">* </span>
<span class="comment">* Target Processor: Cortex-M4/Cortex-M3 </span>
<span class="comment">*</span>
<span class="comment">*</span>
<span class="comment">* Version 1.0.3 2010/11/29 </span>
<span class="comment">* Re-organized the CMSIS folders and updated documentation. </span>
<span class="comment">* </span>
<span class="comment">* Version 1.0.1 2010/10/05 KK </span>
<span class="comment">* Production release and review comments incorporated. </span>
<span class="comment">*</span>
<span class="comment">* Version 1.0.0 2010/09/20 KK</span>
<span class="comment">* Production release and review comments incorporated.</span>
<span class="comment">* ------------------------------------------------------------------- */</span>
<span class="preprocessor">#include &quot;<a class="code" href="arm__math_8h.html">arm_math.h</a>&quot;</span>
<span class="preprocessor">#include &quot;math_helper.h&quot;</span>
<span class="comment">/* ---------------------------------------------------------------------- </span>
<span class="comment">* Defines each of the tests performed </span>
<span class="comment">* ------------------------------------------------------------------- */</span>
<span class="preprocessor">#define MAX_BLOCKSIZE 128 </span>
<span class="preprocessor"></span><span class="preprocessor">#define DELTA (0.000001f) </span>
<span class="preprocessor"></span><span class="preprocessor">#define SNR_THRESHOLD 90 </span>
<span class="preprocessor"></span>
<span class="comment">/* ---------------------------------------------------------------------- </span>
<span class="comment">* Declare I/O buffers </span>
<span class="comment">* ------------------------------------------------------------------- */</span>
<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>
<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>
<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>
<span class="comment">/* ---------------------------------------------------------------------- </span>
<span class="comment">* Test input data for Floating point Convolution example for 32-blockSize </span>
<span class="comment">* Generated by the MATLAB randn() function </span>
<span class="comment">* ------------------------------------------------------------------- */</span>
<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] =
{
-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
};
<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] =
{
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
};
<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] =
{
-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
};
<span class="comment">/* ---------------------------------------------------------------------- </span>
<span class="comment">* Declare Global variables </span>
<span class="comment">* ------------------------------------------------------------------- */</span>
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>
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>
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>
<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>
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>)
{
<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>
<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>
<span class="comment">/* CFFT Structure instance pointer */</span>
<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 =
(<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;
<span class="comment">/* output length of convolution */</span>
<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;
<span class="comment">/* Initialise the fft input buffers with all zeros */</span>
<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>);
<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>);
<span class="comment">/* Copy the input values to the fft input buffers */</span>
<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);
<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);
<span class="comment">/* Initialize the CFFT function to compute 64 point fft */</span>
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);
<span class="comment">/* Transform input a[n] from time domain to frequency domain A[k] */</span>
<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>);
<span class="comment">/* Transform input b[n] from time domain to frequency domain B[k] */</span>
<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>);
<span class="comment">/* Complex Multiplication of the two input buffers in frequency domain */</span>
<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);
<span class="comment">/* Initialize the CIFFT function to compute 64 point ifft */</span>
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);
<span class="comment">/* Transform the multiplication output from frequency domain to time domain, </span>
<span class="comment"> that gives the convolved output */</span>
<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>);
<span class="comment">/* SNR Calculation */</span>
<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);
<span class="comment">/* Compare the SNR with threshold to test whether the </span>
<span class="comment"> computed output is matched with the reference output values. */</span>
<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>)
{
status = <a name="a20"></a><a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>;
}
<span class="keywordflow">if</span>( status != <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>)
{
<span class="keywordflow">while</span>(1);
}
}
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