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diff --git a/src/modules/mathlib/CMSIS/DSP_Lib/Source/BasicMathFunctions/arm_dot_prod_q15.c b/src/modules/mathlib/CMSIS/DSP_Lib/Source/BasicMathFunctions/arm_dot_prod_q15.c
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-/* ----------------------------------------------------------------------
-* Copyright (C) 2010 ARM Limited. All rights reserved.
-*
-* $Date: 15. February 2012
-* $Revision: V1.1.0
-*
-* Project: CMSIS DSP Library
-* Title: arm_dot_prod_q15.c
-*
-* Description: Q15 dot product.
-*
-* 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.
-*
-* Version 0.0.7 2010/06/10
-* Misra-C changes done
-* -------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**
- * @ingroup groupMath
- */
-
-/**
- * @addtogroup dot_prod
- * @{
- */
-
-/**
- * @brief Dot product of Q15 vectors.
- * @param[in] *pSrcA points to the first input vector
- * @param[in] *pSrcB points to the second input vector
- * @param[in] blockSize number of samples in each vector
- * @param[out] *result output result returned here
- * @return none.
- *
- * <b>Scaling and Overflow Behavior:</b>
- * \par
- * The intermediate multiplications are in 1.15 x 1.15 = 2.30 format and these
- * results are added to a 64-bit accumulator in 34.30 format.
- * Nonsaturating additions are used and given that there are 33 guard bits in the accumulator
- * there is no risk of overflow.
- * The return result is in 34.30 format.
- */
-
-void arm_dot_prod_q15(
- q15_t * pSrcA,
- q15_t * pSrcB,
- uint32_t blockSize,
- q63_t * result)
-{
- q63_t sum = 0; /* Temporary result storage */
- uint32_t blkCnt; /* loop counter */
-
-#ifndef ARM_MATH_CM0
-
-/* Run the below code for Cortex-M4 and Cortex-M3 */
-
-
- /*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]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Calculate dot product and then store the result in a temporary buffer. */
- sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum);
- sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, 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]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Calculate dot product and then store the results in a temporary buffer. */
- sum = __SMLALD(*pSrcA++, *pSrcB++, sum);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
- /* Initialize blkCnt with number of samples */
- blkCnt = blockSize;
-
- while(blkCnt > 0u)
- {
- /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
- /* Calculate dot product and then store the results in a temporary buffer. */
- sum += (q63_t) ((q31_t) * pSrcA++ * *pSrcB++);
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
-#endif /* #ifndef ARM_MATH_CM0 */
-
- /* Store the result in the destination buffer in 34.30 format */
- *result = sum;
-
-}
-
-/**
- * @} end of dot_prod group
- */