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diff --git a/fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c b/fw/midi-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_q15.c
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+/* ----------------------------------------------------------------------

+ * 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

+ */