diff options
Diffstat (limited to 'apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c')
-rw-r--r-- | apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c | 180 |
1 files changed, 0 insertions, 180 deletions
diff --git a/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c b/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c deleted file mode 100644 index 08dbc6587..000000000 --- a/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c +++ /dev/null @@ -1,180 +0,0 @@ -/* ----------------------------------------------------------------------
-* Copyright (C) 2010 ARM Limited. All rights reserved.
-*
-* $Date: 15. February 2012
-* $Revision: V1.1.0
-*
-* Project: CMSIS DSP Library
-* Title: arm_var_q15.c
-*
-* Description: Variance of an array of Q15 type.
-*
-* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
-*
-* Version 1.1.0 2012/02/15
-* Updated with more optimizations, bug fixes and minor API changes.
-*
-* Version 1.0.10 2011/7/15
-* Big Endian support added and Merged M0 and M3/M4 Source code.
-*
-* Version 1.0.3 2010/11/29
-* Re-organized the CMSIS folders and updated documentation.
-*
-* Version 1.0.2 2010/11/11
-* Documentation updated.
-*
-* Version 1.0.1 2010/10/05
-* Production release and review comments incorporated.
-*
-* Version 1.0.0 2010/09/20
-* Production release and review comments incorporated.
-* -------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**
- * @ingroup groupStats
- */
-
-/**
- * @addtogroup variance
- * @{
- */
-
-/**
- * @brief Variance of the elements of a Q15 vector.
- * @param[in] *pSrc points to the input vector
- * @param[in] blockSize length of the input vector
- * @param[out] *pResult variance value returned here
- * @return none.
- *
- * @details
- * <b>Scaling and Overflow Behavior:</b>
- *
- * \par
- * The function is implemented using a 64-bit internal accumulator.
- * The input is represented in 1.15 format.
- * Intermediate multiplication yields a 2.30 format, and this
- * result is added without saturation to a 64-bit accumulator in 34.30 format.
- * With 33 guard bits in the accumulator, there is no risk of overflow, and the
- * full precision of the intermediate multiplication is preserved.
- * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower
- * 15 bits, and then saturated to yield a result in 1.15 format.
- *
- */
-
-
-void arm_var_q15(
- q15_t * pSrc,
- uint32_t blockSize,
- q31_t * pResult)
-{
- q31_t sum = 0; /* Accumulator */
- q31_t meanOfSquares, squareOfMean; /* Mean of square and square of mean */
- q15_t mean; /* mean */
- uint32_t blkCnt; /* loop counter */
- q15_t t; /* Temporary variable */
- q63_t sumOfSquares = 0; /* Accumulator */
-
-#ifndef ARM_MATH_CM0
-
- /* Run the below code for Cortex-M4 and Cortex-M3 */
-
- q31_t in; /* Input variable */
- q15_t in1; /* Temporary variable */
-
- /*loop Unrolling */
- blkCnt = blockSize >> 2u;
-
- /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
- ** a second loop below computes the remaining 1 to 3 samples. */
- while(blkCnt > 0u)
- {
- /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */
- /* Compute Sum of squares of the input samples
- * and then store the result in a temporary variable, sum. */
- in = *__SIMD32(pSrc)++;
- sum += ((in << 16) >> 16);
- sum += (in >> 16);
- sumOfSquares = __SMLALD(in, in, sumOfSquares);
- in = *__SIMD32(pSrc)++;
- sum += ((in << 16) >> 16);
- sum += (in >> 16);
- sumOfSquares = __SMLALD(in, in, sumOfSquares);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
- ** No loop unrolling is used. */
- blkCnt = blockSize % 0x4u;
-
- while(blkCnt > 0u)
- {
- /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */
- /* Compute Sum of squares of the input samples
- * and then store the result in a temporary variable, sum. */
- in1 = *pSrc++;
- sum += in1;
- sumOfSquares = __SMLALD(in1, in1, sumOfSquares);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* Compute Mean of squares of the input samples
- * and then store the result in a temporary variable, meanOfSquares. */
- t = (q15_t) ((1.0f / (float32_t) (blockSize - 1u)) * 16384);
- sumOfSquares = __SSAT((sumOfSquares >> 15u), 16u);
-
- meanOfSquares = (q31_t) ((sumOfSquares * t) >> 14u);
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
- q15_t in; /* Temporary variable */
- /* Loop over blockSize number of values */
- blkCnt = blockSize;
-
- while(blkCnt > 0u)
- {
- /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */
- /* Compute Sum of squares of the input samples
- * and then store the result in a temporary variable, sumOfSquares. */
- in = *pSrc++;
- sumOfSquares += (in * in);
-
- /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
- /* Compute sum of all input values and then store the result in a temporary variable, sum. */
- sum += in;
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* Compute Mean of squares of the input samples
- * and then store the result in a temporary variable, meanOfSquares. */
- t = (q15_t) ((1.0f / (float32_t) (blockSize - 1u)) * 16384);
- sumOfSquares = __SSAT((sumOfSquares >> 15u), 16u);
- meanOfSquares = (q31_t) ((sumOfSquares * t) >> 14u);
-
-#endif /* #ifndef ARM_MATH_CM0 */
-
- /* Compute mean of all input values */
- t = (q15_t) ((1.0f / (float32_t) (blockSize * (blockSize - 1u))) * 32768);
- mean = __SSAT(sum, 16u);
-
- /* Compute square of mean */
- squareOfMean = ((q31_t) mean * mean) >> 15;
- squareOfMean = (q31_t) (((q63_t) squareOfMean * t) >> 15);
-
- /* Compute variance and then store the result to the destination */
- *pResult = (meanOfSquares - squareOfMean);
-
-}
-
-/**
- * @} end of variance group
- */
|