/* ----------------------------------------------------------------------
 * Project:      CMSIS DSP Library
 * Title:        arm_var_f32.c
 * Description:  Variance of the elements of a floating-point vector
 *
 * $Date:        18. March 2019
 * $Revision:    V1.6.0
 *
 * Target Processor: Cortex-M cores
 * -------------------------------------------------------------------- */
/*
 * Copyright (C) 2010-2019 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 variance  Variance

  Calculates the variance of the elements in the input vector.
  The underlying algorithm used is the direct method sometimes referred to as
  the two-pass method:

  <pre>
      Result = sum(element - meanOfElements)^2) / numElement - 1

      meanOfElements = ( pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... +
  pSrc[blockSize-1] ) / blockSize
  </pre>

  There are separate functions for floating point, Q31, and Q15 data types.
 */

/**
  @addtogroup variance
  @{
 */

/**
  @brief         Variance of the elements of a floating-point vector.
  @param[in]     pSrc       points to the input vector
  @param[in]     blockSize  number of samples in input vector
  @param[out]    pResult    variance value returned here
  @return        none
 */

void arm_var_f32(const float32_t *pSrc, uint32_t blockSize,
                 float32_t *pResult) {
  uint32_t blkCnt;      /* Loop counter */
  float32_t sum = 0.0f; /* Temporary result storage */
  float32_t fSum = 0.0f;
  float32_t fMean, fValue;
  const float32_t *pInput = pSrc;

  if (blockSize <= 1U) {
    *pResult = 0;
    return;
  }

#if defined(ARM_MATH_LOOPUNROLL)

  /* Loop unrolling: Compute 4 outputs at a time */
  blkCnt = blockSize >> 2U;

  while (blkCnt > 0U) {
    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

    sum += *pInput++;
    sum += *pInput++;
    sum += *pInput++;
    sum += *pInput++;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* Loop unrolling: Compute remaining outputs */
  blkCnt = blockSize % 0x4U;

#else

  /* Initialize blkCnt with number of samples */
  blkCnt = blockSize;

#endif /* #if defined (ARM_MATH_LOOPUNROLL) */

  while (blkCnt > 0U) {
    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */

    sum += *pInput++;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */
  fMean = sum / (float32_t)blockSize;

  pInput = pSrc;

#if defined(ARM_MATH_LOOPUNROLL)

  /* Loop unrolling: Compute 4 outputs at a time */
  blkCnt = blockSize >> 2U;

  while (blkCnt > 0U) {
    fValue = *pInput++ - fMean;
    fSum += fValue * fValue;

    fValue = *pInput++ - fMean;
    fSum += fValue * fValue;

    fValue = *pInput++ - fMean;
    fSum += fValue * fValue;

    fValue = *pInput++ - fMean;
    fSum += fValue * fValue;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* Loop unrolling: Compute remaining outputs */
  blkCnt = blockSize % 0x4U;

#else

  /* Initialize blkCnt with number of samples */
  blkCnt = blockSize;

#endif /* #if defined (ARM_MATH_LOOPUNROLL) */

  while (blkCnt > 0U) {
    fValue = *pInput++ - fMean;
    fSum += fValue * fValue;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* Variance */
  *pResult = fSum / (float32_t)(blockSize - 1.0f);
}

/**
  @} end of variance group
 */