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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
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@@ -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    
- */