diff options
author | Lorenz Meier <lm@inf.ethz.ch> | 2013-04-28 09:54:11 +0200 |
---|---|---|
committer | Lorenz Meier <lm@inf.ethz.ch> | 2013-04-28 09:54:11 +0200 |
commit | 13fc6703862862f4263d8d5d085b7a16b87190e1 (patch) | |
tree | 47f3a17cb6f38b1aafe22e1cdef085cd73cd3a1d /apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c | |
parent | f57439b90e23de260259dec051d3e2ead2d61c8c (diff) | |
download | px4-firmware-13fc6703862862f4263d8d5d085b7a16b87190e1.tar.gz px4-firmware-13fc6703862862f4263d8d5d085b7a16b87190e1.tar.bz2 px4-firmware-13fc6703862862f4263d8d5d085b7a16b87190e1.zip |
Moved last libs, drivers and headers, cleaned up IO build
Diffstat (limited to 'apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c')
-rw-r--r-- | apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c | 153 |
1 files changed, 0 insertions, 153 deletions
diff --git a/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c b/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c deleted file mode 100644 index 491c652e7..000000000 --- a/apps/mathlib/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_rms_q15.c +++ /dev/null @@ -1,153 +0,0 @@ -/* ----------------------------------------------------------------------
-* Copyright (C) 2010 ARM Limited. All rights reserved.
-*
-* $Date: 15. February 2012
-* $Revision: V1.1.0
-*
-* Project: CMSIS DSP Library
-* Title: arm_rms_q15.c
-*
-* Description: Root Mean Square of the elements of a Q15 vector.
-*
-* 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"
-
-/**
- * @addtogroup RMS
- * @{
- */
-
-/**
- * @brief Root Mean Square 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 rms 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_rms_q15(
- q15_t * pSrc,
- uint32_t blockSize,
- q15_t * pResult)
-{
- q63_t sum = 0; /* accumulator */
-
-#ifndef ARM_MATH_CM0
-
- /* Run the below code for Cortex-M4 and Cortex-M3 */
-
- q31_t in; /* temporary variable to store the input value */
- q15_t in1; /* temporary variable to store the input value */
- uint32_t blkCnt; /* loop counter */
-
- /* 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 the squares and then store the results in a temporary variable, sum */
- in = *__SIMD32(pSrc)++;
- sum = __SMLALD(in, in, sum);
- in = *__SIMD32(pSrc)++;
- sum = __SMLALD(in, in, sum);
-
- /* 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 the squares and then store the results in a temporary variable, sum */
- in1 = *pSrc++;
- sum = __SMLALD(in1, in1, sum);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* Truncating and saturating the accumulator to 1.15 format */
- sum = __SSAT((q31_t) (sum >> 15), 16);
-
- in1 = (q15_t) (sum / blockSize);
-
- /* Store the result in the destination */
- arm_sqrt_q15(in1, pResult);
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
- q15_t in; /* temporary variable to store the input value */
- uint32_t blkCnt; /* loop counter */
-
- /* 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 the squares and then store the results in a temporary variable, sum */
- in = *pSrc++;
- sum += ((q31_t) in * in);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* Truncating and saturating the accumulator to 1.15 format */
- sum = __SSAT((q31_t) (sum >> 15), 16);
-
- in = (q15_t) (sum / blockSize);
-
- /* Store the result in the destination */
- arm_sqrt_q15(in, pResult);
-
-#endif /* #ifndef ARM_MATH_CM0 */
-
-}
-
-/**
- * @} end of RMS group
- */
|