diff options
Diffstat (limited to 'fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c')
| -rw-r--r-- | fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c | 186 |
1 files changed, 0 insertions, 186 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c b/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c deleted file mode 100644 index e082fc6..0000000 --- a/fw/hid-dials/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_std_f32.c +++ /dev/null @@ -1,186 +0,0 @@ -/* ----------------------------------------------------------------------
- * Project: CMSIS DSP Library
- * Title: arm_std_f32.c
- * Description: Standard deviation of the elements of a floating-point 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
- */
-
-/**
- * @defgroup STD Standard deviation
- *
- * Calculates the standard deviation of the elements in the input vector.
- * The underlying algorithm is used:
- *
- * <pre>
- * Result = sqrt((sumOfSquares - sum<sup>2</sup> / blockSize) / (blockSize - 1))
- *
- * where, sumOfSquares = pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]
- *
- * sum = pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]
- * </pre>
- *
- * There are separate functions for floating point, Q31, and Q15 data types.
- */
-
-/**
- * @addtogroup STD
- * @{
- */
-
-
-/**
- * @brief Standard deviation of the elements of a floating-point 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.
- */
-
-void arm_std_f32(
- float32_t * pSrc,
- uint32_t blockSize,
- float32_t * pResult)
-{
- float32_t sum = 0.0f; /* Temporary result storage */
- float32_t sumOfSquares = 0.0f; /* Sum of squares */
- float32_t in; /* input value */
- uint32_t blkCnt; /* loop counter */
-#if defined (ARM_MATH_DSP)
- float32_t meanOfSquares, mean, squareOfMean; /* Temporary variables */
-#else
- float32_t squareOfSum; /* Square of Sum */
- float32_t var; /* Temporary varaince storage */
-#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 = *pSrc++;
- sum += in;
- sumOfSquares += in * in;
- in = *pSrc++;
- sum += in;
- sumOfSquares += in * in;
- in = *pSrc++;
- sum += in;
- sumOfSquares += in * in;
- in = *pSrc++;
- sum += in;
- sumOfSquares += in * in;
-
- /* 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. */
- in = *pSrc++;
- sum += in;
- sumOfSquares += in * 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 = sumOfSquares / ((float32_t) blockSize - 1.0f);
-
- /* Compute mean of all input values */
- mean = sum / (float32_t) blockSize;
-
- /* Compute square of mean */
- squareOfMean = (mean * mean) * (((float32_t) blockSize) /
- ((float32_t) blockSize - 1.0f));
-
- /* Compute standard deviation and then store the result to the destination */
- arm_sqrt_f32((meanOfSquares - squareOfMean), 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[blockSize-1]) */
- /* Compute Sum of the input samples
- * and then store the result in a temporary variable, sum. */
- sum += in;
-
- /* Decrement the loop counter */
- blkCnt--;
- }
-
- /* Compute the square of sum */
- squareOfSum = ((sum * sum) / (float32_t) blockSize);
-
- /* Compute the variance */
- var = ((sumOfSquares - squareOfSum) / (float32_t) (blockSize - 1.0f));
-
- /* Compute standard deviation and then store the result to the destination */
- arm_sqrt_f32(var, pResult);
-
-#endif /* #if defined (ARM_MATH_DSP) */
-}
-
-/**
- * @} end of STD group
- */
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