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diff --git a/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c b/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c
deleted file mode 100644
index e3626d8..0000000
--- a/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c
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@@ -1,174 +0,0 @@
-/* ----------------------------------------------------------------------

- * Project:      CMSIS DSP Library

- * Title:        arm_std_q15.c

- * Description:  Standard deviation of an array of Q15 vector

- *

- * $Date:        27. January 2017

- * $Revision:    V.1.5.1

- *

- * Target Processor: Cortex-M cores

- * -------------------------------------------------------------------- */

-/*

- * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.

- *

- * SPDX-License-Identifier: Apache-2.0

- *

- * Licensed under the Apache License, Version 2.0 (the License); you may

- * not use this file except in compliance with the License.

- * You may obtain a copy of the License at

- *

- * www.apache.org/licenses/LICENSE-2.0

- *

- * Unless required by applicable law or agreed to in writing, software

- * distributed under the License is distributed on an AS IS BASIS, WITHOUT

- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

- * See the License for the specific language governing permissions and

- * limitations under the License.

- */

-

-#include "arm_math.h"

-

-/**

- * @ingroup groupStats

- */

-

-/**

- * @addtogroup STD

- * @{

- */

-

-/**

- * @brief Standard deviation 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 standard deviation 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_std_q15(

-  q15_t * pSrc,

-  uint32_t blockSize,

-  q15_t * pResult)

-{

-  q31_t sum = 0;                                 /* Accumulator */

-  q31_t meanOfSquares, squareOfMean;             /* square of mean and mean of square */

-  uint32_t blkCnt;                               /* loop counter */

-  q63_t sumOfSquares = 0;                        /* Accumulator */

-#if defined (ARM_MATH_DSP)

-  q31_t in;                                      /* input value */

-  q15_t in1;                                     /* input value */

-#else

-  q15_t in;                                      /* input value */

-#endif

-

-  if (blockSize == 1U)

-  {

-    *pResult = 0;

-    return;

-  }

-

-#if defined (ARM_MATH_DSP)

-  /* 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] * 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 << 16U) >> 16U);

-    sum +=  (in >> 16U);

-    sumOfSquares = __SMLALD(in, in, sumOfSquares);

-    in = *__SIMD32(pSrc)++;

-    sum += ((in << 16U) >> 16U);

-    sum +=  (in >> 16U);

-    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++;

-    sumOfSquares = __SMLALD(in1, in1, sumOfSquares);

-    sum += in1;

-

-    /* Decrement the loop counter */

-    blkCnt--;

-  }

-

-  /* Compute Mean of squares of the input samples

-   * and then store the result in a temporary variable, meanOfSquares. */

-  meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U));

-

-  /* Compute square of mean */

-  squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U)));

-

-  /* mean of the squares minus the square of the mean. */

-  /* Compute standard deviation and store the result to the destination */

-  arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15U, 16U), pResult);

-

-#else

-  /* Run the below code for Cortex-M0 */

-

-  /* 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. */

-  meanOfSquares = (q31_t)(sumOfSquares / (q63_t)(blockSize - 1U));

-

-  /* Compute square of mean */

-  squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1U)));

-

-  /* mean of the squares minus the square of the mean. */

-  /* Compute standard deviation and store the result to the destination */

-  arm_sqrt_q15(__SSAT((meanOfSquares - squareOfMean) >> 15U, 16U), pResult);

-

-#endif /* #if defined (ARM_MATH_DSP) */

-}

-

-/**

- * @} end of STD group

- */