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+/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_rms_f16.c
+ * Description: Root mean square value of the elements of a floating-point vector
+ *
+ * $Date: 23 April 2021
+ * $Revision: V1.9.0
+ *
+ * Target Processor: Cortex-M and Cortex-A cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2021 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 "dsp/statistics_functions_f16.h"
+
+#if defined(ARM_FLOAT16_SUPPORTED)
+
+
+/**
+ @ingroup groupStats
+ */
+
+/**
+ @defgroup RMS Root mean square (RMS)
+
+ Calculates the Root Mean Square of the elements in the input vector.
+ The underlying algorithm is used:
+
+ <pre>
+ Result = sqrt(((pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]) / blockSize));
+ </pre>
+
+ There are separate functions for floating point, Q31, and Q15 data types.
+ */
+
+/**
+ @addtogroup RMS
+ @{
+ */
+
+/**
+ @brief Root Mean Square 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 root mean square value returned here
+ @return none
+ */
+
+#if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+void arm_rms_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult)
+{
+ float16_t pow = 0.0f;
+
+ arm_power_f16(pSrc, blockSize, &pow);
+
+ /* Compute Rms and store the result in the destination */
+ arm_sqrt_f16((_Float16)pow / (_Float16) blockSize, pResult);
+}
+#else
+
+void arm_rms_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult)
+{
+ uint32_t blkCnt; /* Loop counter */
+ _Float16 sum = 0.0f16; /* Temporary result storage */
+ _Float16 in; /* Temporary variable to store input value */
+
+#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+ /* Loop unrolling: Compute 4 outputs at a time */
+ blkCnt = blockSize >> 2U;
+
+ while (blkCnt > 0U)
+ {
+ /* C = A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */
+
+ in = *pSrc++;
+ /* Compute sum of squares and store result in a temporary variable, sum. */
+ sum += in * in;
+
+ in = *pSrc++;
+ sum += in * in;
+
+ in = *pSrc++;
+ sum += in * in;
+
+ in = *pSrc++;
+ sum += in * in;
+
+ /* 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[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1] */
+
+ in = *pSrc++;
+ /* Compute sum of squares and store result in a temporary variable. */
+ sum += ( in * in);
+
+ /* Decrement loop counter */
+ blkCnt--;
+ }
+
+ /* Compute Rms and store result in destination */
+ arm_sqrt_f16((_Float16)sum / (_Float16) blockSize, pResult);
+}
+#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
+
+/**
+ @} end of RMS group
+ */
+
+#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */
+