170 lines
		
	
	
		
			5.3 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			170 lines
		
	
	
		
			5.3 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
/* ----------------------------------------------------------------------
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 * Project:      CMSIS DSP Library
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 * Title:        arm_var_q31.c
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 * Description:  Variance of an array of Q31 type
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 *
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 * $Date:        27. January 2017
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 * $Revision:    V.1.5.1
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 *
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 * Target Processor: Cortex-M cores
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 * -------------------------------------------------------------------- */
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/*
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 * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
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 *
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 * SPDX-License-Identifier: Apache-2.0
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 *
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 * Licensed under the Apache License, Version 2.0 (the License); you may
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 * not use this file except in compliance with the License.
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 * You may obtain a copy of the License at
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 *
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 * www.apache.org/licenses/LICENSE-2.0
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 *
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 * Unless required by applicable law or agreed to in writing, software
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 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
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 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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 * See the License for the specific language governing permissions and
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 * limitations under the License.
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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 variance
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 * @{
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 */
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/**
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 * @brief Variance of the elements of a Q31 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 variance value returned here
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 * @return none.
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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 an internal 64-bit accumulator.
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 * The input is represented in 1.31 format, which is then downshifted by 8 bits
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 * which yields 1.23, and intermediate multiplication yields a 2.46 format.
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 * The accumulator maintains full precision of the intermediate multiplication results,
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 * but provides only a 16 guard bits.
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 * There is no saturation on intermediate additions.
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 * If the accumulator overflows it wraps around and distorts the result.
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 * In order to avoid overflows completely the input signal must be scaled down by
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 * log2(blockSize)-8 bits, as a total of blockSize additions are performed internally.
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 * After division, internal variables should be Q18.46
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 * Finally, the 18.46 accumulator is right shifted by 15 bits to yield a 1.31 format value.
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 *
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 */
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void arm_var_q31(
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  q31_t * pSrc,
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  uint32_t blockSize,
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  q31_t * pResult)
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{
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  q63_t sum = 0;                                 /* Accumulator */
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  q63_t meanOfSquares, squareOfMean;             /* square of mean and mean of square */
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  q31_t in;                                      /* input value */
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  uint32_t blkCnt;                               /* loop counter */
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  q63_t sumOfSquares = 0;                        /* Accumulator */
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  if (blockSize == 1U)
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  {
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    *pResult = 0;
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    return;
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  }
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#if defined (ARM_MATH_DSP)
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  /* Run the below code for Cortex-M4 and Cortex-M3 */
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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 = *pSrc++ >> 8U;
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    sum += in;
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    sumOfSquares += ((q63_t) (in) * (in));
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    in = *pSrc++ >> 8U;
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    sum += in;
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    sumOfSquares += ((q63_t) (in) * (in));
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    in = *pSrc++ >> 8U;
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    sum += in;
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    sumOfSquares += ((q63_t) (in) * (in));
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    in = *pSrc++ >> 8U;
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    sum += in;
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    sumOfSquares += ((q63_t) (in) * (in));
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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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    in = *pSrc++ >> 8U;
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    sum += in;
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    sumOfSquares += ((q63_t) (in) * (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 = sumOfSquares / (q63_t)(blockSize - 1U);
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#else
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  /* Run the below code for Cortex-M0 */
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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++ >> 8U;
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    sumOfSquares += ((q63_t) (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 = sumOfSquares / (q63_t)(blockSize - 1U);
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#endif /* #if defined (ARM_MATH_DSP) */
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  /* Compute square of mean */
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  squareOfMean = sum * sum / (q63_t)(blockSize * (blockSize - 1U));
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  /* Compute standard deviation and then store the result to the destination */
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  *pResult = (meanOfSquares - squareOfMean) >> 15U;
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}
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/**
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 * @} end of variance group
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 */
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