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| <h1>arm_std_q15.c</h1> </div> |
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| <div class="contents"> |
| <a href="arm__std__q15_8c.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/* ---------------------------------------------------------------------- </span> |
| <a name="l00002"></a>00002 <span class="comment">* Copyright (C) 2010 ARM Limited. All rights reserved. </span> |
| <a name="l00003"></a>00003 <span class="comment">* </span> |
| <a name="l00004"></a>00004 <span class="comment">* $Date: 15. July 2011 </span> |
| <a name="l00005"></a>00005 <span class="comment">* $Revision: V1.0.10 </span> |
| <a name="l00006"></a>00006 <span class="comment">* </span> |
| <a name="l00007"></a>00007 <span class="comment">* Project: CMSIS DSP Library </span> |
| <a name="l00008"></a>00008 <span class="comment">* Title: arm_std_q15.c </span> |
| <a name="l00009"></a>00009 <span class="comment">* </span> |
| <a name="l00010"></a>00010 <span class="comment">* Description: Standard deviation of an array of Q15 type. </span> |
| <a name="l00011"></a>00011 <span class="comment">* </span> |
| <a name="l00012"></a>00012 <span class="comment">* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0</span> |
| <a name="l00013"></a>00013 <span class="comment">* </span> |
| <a name="l00014"></a>00014 <span class="comment">* Version 1.0.10 2011/7/15 </span> |
| <a name="l00015"></a>00015 <span class="comment">* Big Endian support added and Merged M0 and M3/M4 Source code. </span> |
| <a name="l00016"></a>00016 <span class="comment">* </span> |
| <a name="l00017"></a>00017 <span class="comment">* Version 1.0.3 2010/11/29 </span> |
| <a name="l00018"></a>00018 <span class="comment">* Re-organized the CMSIS folders and updated documentation. </span> |
| <a name="l00019"></a>00019 <span class="comment">* </span> |
| <a name="l00020"></a>00020 <span class="comment">* Version 1.0.2 2010/11/11 </span> |
| <a name="l00021"></a>00021 <span class="comment">* Documentation updated. </span> |
| <a name="l00022"></a>00022 <span class="comment">* </span> |
| <a name="l00023"></a>00023 <span class="comment">* Version 1.0.1 2010/10/05 </span> |
| <a name="l00024"></a>00024 <span class="comment">* Production release and review comments incorporated. </span> |
| <a name="l00025"></a>00025 <span class="comment">* </span> |
| <a name="l00026"></a>00026 <span class="comment">* Version 1.0.0 2010/09/20 </span> |
| <a name="l00027"></a>00027 <span class="comment">* Production release and review comments incorporated. </span> |
| <a name="l00028"></a>00028 <span class="comment">* -------------------------------------------------------------------- */</span> |
| <a name="l00029"></a>00029 |
| <a name="l00030"></a>00030 <span class="preprocessor">#include "<a class="code" href="arm__math_8h.html">arm_math.h</a>"</span> |
| <a name="l00031"></a>00031 |
| <a name="l00062"></a><a class="code" href="group___s_t_d.html#gaf9d27afa9928ff28a63cd98ea9218a72">00062</a> <span class="keywordtype">void</span> <a class="code" href="group___s_t_d.html#gaf9d27afa9928ff28a63cd98ea9218a72" title="Standard deviation of the elements of a Q15 vector.">arm_std_q15</a>( |
| <a name="l00063"></a>00063 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> * pSrc, |
| <a name="l00064"></a>00064 uint32_t <a class="code" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>, |
| <a name="l00065"></a>00065 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> * pResult) |
| <a name="l00066"></a>00066 { |
| <a name="l00067"></a>00067 <a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a> sum = 0; <span class="comment">/* Accumulator */</span> |
| <a name="l00068"></a>00068 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> meanOfSquares, squareOfMean; <span class="comment">/* square of mean and mean of square */</span> |
| <a name="l00069"></a>00069 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> <a class="code" href="arm__class__marks__example__f32_8c.html#acc9290716b3c97381ce52d14b4b01681">mean</a>; <span class="comment">/* mean */</span> |
| <a name="l00070"></a>00070 uint32_t blkCnt; <span class="comment">/* loop counter */</span> |
| <a name="l00071"></a>00071 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> t; <span class="comment">/* Temporary variable */</span> |
| <a name="l00072"></a>00072 |
| <a name="l00073"></a>00073 <span class="preprocessor">#ifndef ARM_MATH_CM0</span> |
| <a name="l00074"></a>00074 <span class="preprocessor"></span> |
| <a name="l00075"></a>00075 <span class="comment">/* Run the below code for Cortex-M4 and Cortex-M3 */</span> |
| <a name="l00076"></a>00076 |
| <a name="l00077"></a>00077 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> *pIn; <span class="comment">/* Temporary pointer */</span> |
| <a name="l00078"></a>00078 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> in; <span class="comment">/* input value */</span> |
| <a name="l00079"></a>00079 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> in1; <span class="comment">/* input value */</span> |
| <a name="l00080"></a>00080 |
| <a name="l00081"></a>00081 pIn = pSrc; |
| <a name="l00082"></a>00082 |
| <a name="l00083"></a>00083 <span class="comment">/*loop Unrolling */</span> |
| <a name="l00084"></a>00084 blkCnt = blockSize >> 2u; |
| <a name="l00085"></a>00085 |
| <a name="l00086"></a>00086 <span class="comment">/* First part of the processing with loop unrolling. Compute 4 outputs at a time. </span> |
| <a name="l00087"></a>00087 <span class="comment"> ** a second loop below computes the remaining 1 to 3 samples. */</span> |
| <a name="l00088"></a>00088 <span class="keywordflow">while</span>(blkCnt > 0u) |
| <a name="l00089"></a>00089 { |
| <a name="l00090"></a>00090 <span class="comment">/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */</span> |
| <a name="l00091"></a>00091 <span class="comment">/* Compute Sum of squares of the input samples </span> |
| <a name="l00092"></a>00092 <span class="comment"> * and then store the result in a temporary variable, sum. */</span> |
| <a name="l00093"></a>00093 in = *<a class="code" href="arm__math_8h.html#a9de2e0a5785be82866bcb96012282248" title="definition to read/write two 16 bit values.">__SIMD32</a>(pSrc)++; |
| <a name="l00094"></a>00094 sum = __SMLALD(in, in, sum); |
| <a name="l00095"></a>00095 in = *<a class="code" href="arm__math_8h.html#a9de2e0a5785be82866bcb96012282248" title="definition to read/write two 16 bit values.">__SIMD32</a>(pSrc)++; |
| <a name="l00096"></a>00096 sum = __SMLALD(in, in, sum); |
| <a name="l00097"></a>00097 |
| <a name="l00098"></a>00098 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00099"></a>00099 blkCnt--; |
| <a name="l00100"></a>00100 } |
| <a name="l00101"></a>00101 |
| <a name="l00102"></a>00102 <span class="comment">/* If the blockSize is not a multiple of 4, compute any remaining output samples here. </span> |
| <a name="l00103"></a>00103 <span class="comment"> ** No loop unrolling is used. */</span> |
| <a name="l00104"></a>00104 blkCnt = blockSize % 0x4u; |
| <a name="l00105"></a>00105 |
| <a name="l00106"></a>00106 <span class="keywordflow">while</span>(blkCnt > 0u) |
| <a name="l00107"></a>00107 { |
| <a name="l00108"></a>00108 <span class="comment">/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */</span> |
| <a name="l00109"></a>00109 <span class="comment">/* Compute Sum of squares of the input samples </span> |
| <a name="l00110"></a>00110 <span class="comment"> * and then store the result in a temporary variable, sum. */</span> |
| <a name="l00111"></a>00111 in1 = *pSrc++; |
| <a name="l00112"></a>00112 sum = __SMLALD(in1, in1, sum); |
| <a name="l00113"></a>00113 |
| <a name="l00114"></a>00114 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00115"></a>00115 blkCnt--; |
| <a name="l00116"></a>00116 } |
| <a name="l00117"></a>00117 |
| <a name="l00118"></a>00118 <span class="comment">/* Compute Mean of squares of the input samples </span> |
| <a name="l00119"></a>00119 <span class="comment"> * and then store the result in a temporary variable, meanOfSquares. */</span> |
| <a name="l00120"></a>00120 t = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) ((1.0 / (blockSize - 1)) * 16384LL); |
| <a name="l00121"></a>00121 sum = __SSAT((sum >> 15u), 16u); |
| <a name="l00122"></a>00122 |
| <a name="l00123"></a>00123 meanOfSquares = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((sum * t) >> 14u); |
| <a name="l00124"></a>00124 |
| <a name="l00125"></a>00125 <span class="comment">/* Reset the accumulator */</span> |
| <a name="l00126"></a>00126 sum = 0; |
| <a name="l00127"></a>00127 |
| <a name="l00128"></a>00128 <span class="comment">/*loop Unrolling */</span> |
| <a name="l00129"></a>00129 blkCnt = blockSize >> 2u; |
| <a name="l00130"></a>00130 |
| <a name="l00131"></a>00131 <span class="comment">/* Reset the input working pointer */</span> |
| <a name="l00132"></a>00132 pSrc = pIn; |
| <a name="l00133"></a>00133 |
| <a name="l00134"></a>00134 <span class="comment">/* First part of the processing with loop unrolling. Compute 4 outputs at a time. </span> |
| <a name="l00135"></a>00135 <span class="comment"> ** a second loop below computes the remaining 1 to 3 samples. */</span> |
| <a name="l00136"></a>00136 <span class="keywordflow">while</span>(blkCnt > 0u) |
| <a name="l00137"></a>00137 { |
| <a name="l00138"></a>00138 <span class="comment">/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */</span> |
| <a name="l00139"></a>00139 <span class="comment">/* Compute sum of all input values and then store the result in a temporary variable, sum. */</span> |
| <a name="l00140"></a>00140 sum += *pSrc++; |
| <a name="l00141"></a>00141 sum += *pSrc++; |
| <a name="l00142"></a>00142 sum += *pSrc++; |
| <a name="l00143"></a>00143 sum += *pSrc++; |
| <a name="l00144"></a>00144 |
| <a name="l00145"></a>00145 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00146"></a>00146 blkCnt--; |
| <a name="l00147"></a>00147 } |
| <a name="l00148"></a>00148 |
| <a name="l00149"></a>00149 <span class="comment">/* If the blockSize is not a multiple of 4, compute any remaining output samples here. </span> |
| <a name="l00150"></a>00150 <span class="comment"> ** No loop unrolling is used. */</span> |
| <a name="l00151"></a>00151 blkCnt = blockSize % 0x4u; |
| <a name="l00152"></a>00152 |
| <a name="l00153"></a>00153 <span class="keywordflow">while</span>(blkCnt > 0u) |
| <a name="l00154"></a>00154 { |
| <a name="l00155"></a>00155 <span class="comment">/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */</span> |
| <a name="l00156"></a>00156 <span class="comment">/* Compute sum of all input values and then store the result in a temporary variable, sum. */</span> |
| <a name="l00157"></a>00157 sum += *pSrc++; |
| <a name="l00158"></a>00158 |
| <a name="l00159"></a>00159 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00160"></a>00160 blkCnt--; |
| <a name="l00161"></a>00161 } |
| <a name="l00162"></a>00162 <span class="comment">/* Compute mean of all input values */</span> |
| <a name="l00163"></a>00163 t = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) ((1.0 / (blockSize * (blockSize - 1))) * 32768LL); |
| <a name="l00164"></a>00164 mean = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) __SSAT(sum, 16u); |
| <a name="l00165"></a>00165 |
| <a name="l00166"></a>00166 <span class="comment">/* Compute square of mean */</span> |
| <a name="l00167"></a>00167 squareOfMean = ((<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) mean * mean) >> 15; |
| <a name="l00168"></a>00168 squareOfMean = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) (((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) squareOfMean * t) >> 15); |
| <a name="l00169"></a>00169 |
| <a name="l00170"></a>00170 <span class="comment">/* mean of the squares minus the square of the mean. */</span> |
| <a name="l00171"></a>00171 in1 = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) (meanOfSquares - squareOfMean); |
| <a name="l00172"></a>00172 |
| <a name="l00173"></a>00173 <span class="comment">/* Compute standard deviation and store the result to the destination */</span> |
| <a name="l00174"></a>00174 <a class="code" href="group___s_q_r_t.html#ga5abe5ca724f3e15849662b03752c1238" title="Q15 square root function.">arm_sqrt_q15</a>(in1, pResult); |
| <a name="l00175"></a>00175 |
| <a name="l00176"></a>00176 <span class="preprocessor">#else</span> |
| <a name="l00177"></a>00177 <span class="preprocessor"></span> |
| <a name="l00178"></a>00178 <span class="comment">/* Run the below code for Cortex-M0 */</span> |
| <a name="l00179"></a>00179 |
| <a name="l00180"></a>00180 <a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a> sumOfSquares = 0; <span class="comment">/* Accumulator */</span> |
| <a name="l00181"></a>00181 <a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a> in; <span class="comment">/* input value */</span> |
| <a name="l00182"></a>00182 <span class="comment">/* Loop over blockSize number of values */</span> |
| <a name="l00183"></a>00183 blkCnt = <a class="code" href="arm__fir__example__f32_8c.html#ab6558f40a619c2502fbc24c880fd4fb0">blockSize</a>; |
| <a name="l00184"></a>00184 |
| <a name="l00185"></a>00185 <span class="keywordflow">while</span>(blkCnt > 0u) |
| <a name="l00186"></a>00186 { |
| <a name="l00187"></a>00187 <span class="comment">/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */</span> |
| <a name="l00188"></a>00188 <span class="comment">/* Compute Sum of squares of the input samples </span> |
| <a name="l00189"></a>00189 <span class="comment"> * and then store the result in a temporary variable, sumOfSquares. */</span> |
| <a name="l00190"></a>00190 in = *pSrc++; |
| <a name="l00191"></a>00191 sumOfSquares += (in * in); |
| <a name="l00192"></a>00192 |
| <a name="l00193"></a>00193 <span class="comment">/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */</span> |
| <a name="l00194"></a>00194 <span class="comment">/* Compute sum of all input values and then store the result in a temporary variable, sum. */</span> |
| <a name="l00195"></a>00195 sum += in; |
| <a name="l00196"></a>00196 |
| <a name="l00197"></a>00197 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00198"></a>00198 blkCnt--; |
| <a name="l00199"></a>00199 } |
| <a name="l00200"></a>00200 |
| <a name="l00201"></a>00201 <span class="comment">/* Compute Mean of squares of the input samples </span> |
| <a name="l00202"></a>00202 <span class="comment"> * and then store the result in a temporary variable, meanOfSquares. */</span> |
| <a name="l00203"></a>00203 t = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) ((1.0 / (blockSize - 1)) * 16384LL); |
| <a name="l00204"></a>00204 sumOfSquares = __SSAT((sumOfSquares >> 15u), 16u); |
| <a name="l00205"></a>00205 meanOfSquares = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((sumOfSquares * t) >> 14u); |
| <a name="l00206"></a>00206 |
| <a name="l00207"></a>00207 <span class="comment">/* Compute mean of all input values */</span> |
| <a name="l00208"></a>00208 mean = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) __SSAT(sum, 16u); |
| <a name="l00209"></a>00209 |
| <a name="l00210"></a>00210 <span class="comment">/* Compute square of mean of the input samples </span> |
| <a name="l00211"></a>00211 <span class="comment"> * and then store the result in a temporary variable, squareOfMean.*/</span> |
| <a name="l00212"></a>00212 t = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) ((1.0 / (blockSize * (blockSize - 1))) * 32768LL); |
| <a name="l00213"></a>00213 squareOfMean = ((<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) mean * mean) >> 15; |
| <a name="l00214"></a>00214 squareOfMean = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) (((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) squareOfMean * t) >> 15); |
| <a name="l00215"></a>00215 |
| <a name="l00216"></a>00216 <span class="comment">/* mean of the squares minus the square of the mean. */</span> |
| <a name="l00217"></a>00217 in = (<a class="code" href="arm__math_8h.html#ab5a8fb21a5b3b983d5f54f31614052ea" title="16-bit fractional data type in 1.15 format.">q15_t</a>) (meanOfSquares - squareOfMean); |
| <a name="l00218"></a>00218 |
| <a name="l00219"></a>00219 <span class="comment">/* Compute standard deviation and store the result to the destination */</span> |
| <a name="l00220"></a>00220 <a class="code" href="group___s_q_r_t.html#ga5abe5ca724f3e15849662b03752c1238" title="Q15 square root function.">arm_sqrt_q15</a>(in, pResult); |
| <a name="l00221"></a>00221 |
| <a name="l00222"></a>00222 <span class="preprocessor">#endif </span><span class="comment">/* #ifndef ARM_MATH_CM0 */</span> |
| <a name="l00223"></a>00223 |
| <a name="l00224"></a>00224 |
| <a name="l00225"></a>00225 } |
| <a name="l00226"></a>00226 |
| </pre></div></div> |
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