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-rw-r--r--DSP/Source/StatisticsFunctions/arm_power_q7.c115
1 files changed, 62 insertions, 53 deletions
diff --git a/DSP/Source/StatisticsFunctions/arm_power_q7.c b/DSP/Source/StatisticsFunctions/arm_power_q7.c
index 24306cd..47405cd 100644
--- a/DSP/Source/StatisticsFunctions/arm_power_q7.c
+++ b/DSP/Source/StatisticsFunctions/arm_power_q7.c
@@ -3,13 +3,13 @@
* Title: arm_power_q7.c
* Description: Sum of the squares of the elements of a Q7 vector
*
- * $Date: 27. January 2017
- * $Revision: V.1.5.1
+ * $Date: 18. March 2019
+ * $Revision: V1.6.0
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
- * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
@@ -29,99 +29,108 @@
#include "arm_math.h"
/**
- * @ingroup groupStats
+ @ingroup groupStats
*/
/**
- * @addtogroup power
- * @{
+ @addtogroup power
+ @{
*/
/**
- * @brief Sum of the squares of the elements of a Q7 vector.
- * @param[in] *pSrc points to the input vector
- * @param[in] blockSize length of the input vector
- * @param[out] *pResult sum of the squares value returned here
- * @return none.
- *
- * @details
- * <b>Scaling and Overflow Behavior:</b>
- *
- * \par
- * The function is implemented using a 32-bit internal accumulator.
- * The input is represented in 1.7 format.
- * Intermediate multiplication yields a 2.14 format, and this
- * result is added without saturation to an accumulator in 18.14 format.
- * With 17 guard bits in the accumulator, there is no risk of overflow, and the
- * full precision of the intermediate multiplication is preserved.
- * Finally, the return result is in 18.14 format.
- *
+ @brief Sum of the squares of the elements of a Q7 vector.
+ @param[in] pSrc points to the input vector
+ @param[in] blockSize number of samples in input vector
+ @param[out] pResult sum of the squares value returned here
+ @return none
+
+ @par Scaling and Overflow Behavior
+ The function is implemented using a 32-bit internal accumulator.
+ The input is represented in 1.7 format.
+ Intermediate multiplication yields a 2.14 format, and this
+ result is added without saturation to an accumulator in 18.14 format.
+ With 17 guard bits in the accumulator, there is no risk of overflow, and the
+ full precision of the intermediate multiplication is preserved.
+ Finally, the return result is in 18.14 format.
*/
void arm_power_q7(
- q7_t * pSrc,
- uint32_t blockSize,
- q31_t * pResult)
+ const q7_t * pSrc,
+ uint32_t blockSize,
+ q31_t * pResult)
{
- q31_t sum = 0; /* Temporary result storage */
- q7_t in; /* Temporary variable to store input */
- uint32_t blkCnt; /* loop counter */
+ uint32_t blkCnt; /* Loop counter */
+ q31_t sum = 0; /* Temporary result storage */
+ q7_t in; /* Temporary variable to store input value */
-#if defined (ARM_MATH_DSP)
- /* Run the below code for Cortex-M4 and Cortex-M3 */
+#if defined (ARM_MATH_LOOPUNROLL) && defined (ARM_MATH_DSP)
+ q31_t in32; /* Temporary variable to store packed input value */
+ q31_t in1, in2; /* Temporary variables to store input value */
+#endif
- q31_t input1; /* Temporary variable to store packed input */
- q31_t in1, in2; /* Temporary variables to store input */
+#if defined (ARM_MATH_LOOPUNROLL)
- /*loop Unrolling */
+ /* Loop unrolling: Compute 4 outputs at a time */
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)
{
- /* Reading two inputs of pSrc vector and packing */
- input1 = *__SIMD32(pSrc)++;
+ /* C = A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */
+
+ /* Compute Power and store result in a temporary variable, sum. */
+#if defined (ARM_MATH_DSP)
+ in32 = read_q7x4_ia ((q7_t **) &pSrc);
- in1 = __SXTB16(__ROR(input1, 8));
- in2 = __SXTB16(input1);
+ in1 = __SXTB16(__ROR(in32, 8));
+ in2 = __SXTB16(in32);
- /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
/* calculate power and accumulate to accumulator */
sum = __SMLAD(in1, in1, sum);
sum = __SMLAD(in2, in2, sum);
+#else
+ in = *pSrc++;
+ sum += ((q15_t) in * in);
- /* Decrement the loop counter */
+ in = *pSrc++;
+ sum += ((q15_t) in * in);
+
+ in = *pSrc++;
+ sum += ((q15_t) in * in);
+
+ in = *pSrc++;
+ sum += ((q15_t) in * in);
+#endif /* #if defined (ARM_MATH_DSP) */
+
+ /* Decrement loop counter */
blkCnt--;
}
- /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
- ** No loop unrolling is used. */
+ /* Loop unrolling: Compute remaining outputs */
blkCnt = blockSize % 0x4U;
#else
- /* Run the below code for Cortex-M0 */
- /* Loop over blockSize number of values */
+ /* Initialize blkCnt with number of samples */
blkCnt = blockSize;
-#endif /* #if defined (ARM_MATH_DSP) */
+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
while (blkCnt > 0U)
{
- /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
- /* Compute Power and then store the result in a temporary variable, sum. */
+ /* C = A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */
+
+ /* Compute Power and store result in a temporary variable, sum. */
in = *pSrc++;
sum += ((q15_t) in * in);
- /* Decrement the loop counter */
+ /* Decrement loop counter */
blkCnt--;
}
- /* Store the result in 18.14 format */
+ /* Store result in 18.14 format */
*pResult = sum;
}
/**
- * @} end of power group
+ @} end of power group
*/