1 files changed, 0 insertions, 139 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c
deleted file mode 100644
index 7cc2e12..0000000
--- a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_q15.c
+++ /dev/null
@@ -1,139 +0,0 @@
-/* ----------------------------------------------------------------------
- * Project:      CMSIS DSP Library
- * Title:        arm_rms_q15.c
- * Description:  Root Mean Square of the elements of a 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"
-
-/**
- * @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 */
-
-#if defined (ARM_MATH_DSP)
-  /* 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 */
-  /* Store the result in the destination */
-  arm_sqrt_q15(__SSAT((sum / (q63_t)blockSize) >> 15, 16), 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 */
-  /* Store the result in the destination */
-  arm_sqrt_q15(__SSAT((sum / (q63_t)blockSize) >> 15, 16), pResult);
-
-#endif /* #if defined (ARM_MATH_DSP) */
-
-}
-
-/**
- * @} end of RMS group
- */