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/* ---------------------------------------------------------------------- |
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* Copyright (C) 2010-2014 ARM Limited. All rights reserved. |
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* |
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* $Date: 19. March 2015 |
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* $Revision: V.1.4.5 |
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* |
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* Project: CMSIS DSP Library |
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* Title: arm_std_q15.c |
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* |
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* Description: Standard deviation of an array of Q15 type. |
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* |
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* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 |
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* |
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* Redistribution and use in source and binary forms, with or without |
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* modification, are permitted provided that the following conditions |
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* are met: |
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* - Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* - Redistributions in binary form must reproduce the above copyright |
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* notice, this list of conditions and the following disclaimer in |
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* the documentation and/or other materials provided with the |
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* distribution. |
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* - Neither the name of ARM LIMITED nor the names of its contributors |
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* may be used to endorse or promote products derived from this |
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* software without specific prior written permission. |
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* |
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS |
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE |
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, |
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, |
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; |
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER |
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT |
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN |
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
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* POSSIBILITY OF SUCH DAMAGE. |
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* -------------------------------------------------------------------- */ |
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#include "arm_math.h" |
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/** |
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* @ingroup groupStats |
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*/ |
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/** |
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* @addtogroup STD |
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* @{ |
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*/ |
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/** |
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* @brief Standard deviation of the elements of a Q15 vector. |
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* @param[in] *pSrc points to the input vector |
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* @param[in] blockSize length of the input vector |
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* @param[out] *pResult standard deviation value returned here |
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* @return none. |
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* |
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* @details |
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* <b>Scaling and Overflow Behavior:</b> |
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* |
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* \par |
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* The function is implemented using a 64-bit internal accumulator. |
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* The input is represented in 1.15 format. |
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* Intermediate multiplication yields a 2.30 format, and this |
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* result is added without saturation to a 64-bit accumulator in 34.30 format. |
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* With 33 guard bits in the accumulator, there is no risk of overflow, and the |
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* full precision of the intermediate multiplication is preserved. |
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* Finally, the 34.30 result is truncated to 34.15 format by discarding the lower |
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* 15 bits, and then saturated to yield a result in 1.15 format. |
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*/ |
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void arm_std_q15( |
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q15_t * pSrc, |
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uint32_t blockSize, |
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q15_t * pResult) |
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{ |
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q31_t sum = 0; /* Accumulator */ |
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q31_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ |
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uint32_t blkCnt; /* loop counter */ |
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q63_t sumOfSquares = 0; /* Accumulator */ |
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#ifndef ARM_MATH_CM0_FAMILY |
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/* Run the below code for Cortex-M4 and Cortex-M3 */ |
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q31_t in; /* input value */ |
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q15_t in1; /* input value */ |
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if(blockSize == 1) |
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{ |
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*pResult = 0; |
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return; |
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} |
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/*loop Unrolling */ |
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blkCnt = blockSize >> 2u; |
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/* First part of the processing with loop unrolling. Compute 4 outputs at a time. |
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** a second loop below computes the remaining 1 to 3 samples. */ |
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while(blkCnt > 0u) |
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{ |
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/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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/* Compute Sum of squares of the input samples |
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* and then store the result in a temporary variable, sum. */ |
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in = *__SIMD32(pSrc)++; |
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sum += ((in << 16) >> 16); |
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sum += (in >> 16); |
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sumOfSquares = __SMLALD(in, in, sumOfSquares); |
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in = *__SIMD32(pSrc)++; |
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sum += ((in << 16) >> 16); |
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sum += (in >> 16); |
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sumOfSquares = __SMLALD(in, in, sumOfSquares); |
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/* Decrement the loop counter */ |
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blkCnt--; |
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} |
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/* If the blockSize is not a multiple of 4, compute any remaining output samples here. |
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** No loop unrolling is used. */ |
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blkCnt = blockSize % 0x4u; |
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while(blkCnt > 0u) |
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{ |
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/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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/* Compute Sum of squares of the input samples |
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* and then store the result in a temporary variable, sum. */ |
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in1 = *pSrc++; |
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sumOfSquares = __SMLALD(in1, in1, sumOfSquares); |
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sum += in1; |
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/* Decrement the loop counter */ |
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blkCnt--; |
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} |
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/* Compute Mean of squares of the input samples |
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* and then store the result in a temporary variable, meanOfSquares. */ |
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meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1)); |
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/* Compute square of mean */ |
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squareOfMean = (q31_t) ((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1))); |
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/* mean of the squares minus the square of the mean. */ |
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/* Compute standard deviation and store the result to the destination */ |
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arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15, 16u), pResult); |
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#else |
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/* Run the below code for Cortex-M0 */ |
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q15_t in; /* input value */ |
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if(blockSize == 1) |
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{ |
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*pResult = 0; |
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return; |
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} |
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/* Loop over blockSize number of values */ |
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blkCnt = blockSize; |
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while(blkCnt > 0u) |
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{ |
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/* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ |
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/* Compute Sum of squares of the input samples |
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* and then store the result in a temporary variable, sumOfSquares. */ |
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in = *pSrc++; |
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sumOfSquares += (in * in); |
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/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ |
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/* Compute sum of all input values and then store the result in a temporary variable, sum. */ |
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sum += in; |
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/* Decrement the loop counter */ |
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blkCnt--; |
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} |
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/* Compute Mean of squares of the input samples |
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* and then store the result in a temporary variable, meanOfSquares. */ |
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meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1)); |
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/* Compute square of mean */ |
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squareOfMean = (q31_t) ((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1))); |
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/* mean of the squares minus the square of the mean. */ |
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/* Compute standard deviation and store the result to the destination */ |
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arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15, 16u), pResult); |
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#endif /* #ifndef ARM_MATH_CM0_FAMILY */ |
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} |
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/** |
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* @} end of STD group |
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*/ |