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+/******************************************************************************
+ * @file statistics_functions_f16.h
+ * @brief Public header file for CMSIS DSP Library
+ * @version V1.10.1
+ * @date 14 July 2022
+ * Target Processor: Cortex-M and Cortex-A cores
+ ******************************************************************************/
+/*
+ * Copyright (c) 2010-2020 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.
+ */
+
+
+#ifndef STATISTICS_FUNCTIONS_F16_H_
+#define STATISTICS_FUNCTIONS_F16_H_
+
+#include "arm_math_types_f16.h"
+#include "arm_math_memory.h"
+
+#include "dsp/none.h"
+#include "dsp/utils.h"
+
+#include "dsp/basic_math_functions_f16.h"
+#include "dsp/fast_math_functions_f16.h"
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+#if defined(ARM_FLOAT16_SUPPORTED)
+
+ /**
+ * @brief Sum of the squares of the elements of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_power_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+ /**
+ * @brief Mean value of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_mean_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+ /**
+ * @brief Variance of the elements of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_var_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+ /**
+ * @brief Root Mean Square of the elements of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_rms_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+ /**
+ * @brief Standard deviation of the elements of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_std_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+ /**
+ * @brief Minimum value of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output pointer
+ * @param[out] pIndex is the array index of the minimum value in the input buffer.
+ */
+ void arm_min_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult,
+ uint32_t * pIndex);
+
+ /**
+ * @brief Minimum value of absolute values of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output pointer
+ * @param[out] pIndex is the array index of the minimum value in the input buffer.
+ */
+ void arm_absmin_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult,
+ uint32_t * pIndex);
+
+/**
+ * @brief Maximum value of a floating-point vector.
+ * @param[in] pSrc points to the input buffer
+ * @param[in] blockSize length of the input vector
+ * @param[out] pResult maximum value returned here
+ * @param[out] pIndex index of maximum value returned here
+ */
+ void arm_max_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult,
+ uint32_t * pIndex);
+
+/**
+ * @brief Maximum value of absolute values of a floating-point vector.
+ * @param[in] pSrc points to the input buffer
+ * @param[in] blockSize length of the input vector
+ * @param[out] pResult maximum value returned here
+ * @param[out] pIndex index of maximum value returned here
+ */
+ void arm_absmax_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult,
+ uint32_t * pIndex);
+
+ /**
+ * @brief Minimum value of absolute values of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output pointer
+ */
+ void arm_absmin_no_idx_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+/**
+ * @brief Maximum value of a floating-point vector.
+ * @param[in] pSrc points to the input buffer
+ * @param[in] blockSize length of the input vector
+ * @param[out] pResult maximum value returned here
+ */
+ void arm_absmax_no_idx_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+
+/**
+ * @brief Entropy
+ *
+ * @param[in] pSrcA Array of input values.
+ * @param[in] blockSize Number of samples in the input array.
+ * @return Entropy -Sum(p ln p)
+ */
+float16_t arm_entropy_f16(const float16_t * pSrcA,uint32_t blockSize);
+
+
+float16_t arm_logsumexp_f16(const float16_t *in, uint32_t blockSize);
+
+
+/**
+ * @brief Dot product with log arithmetic
+ *
+ * Vectors are containing the log of the samples
+ *
+ * @param[in] pSrcA points to the first input vector
+ * @param[in] pSrcB points to the second input vector
+ * @param[in] blockSize number of samples in each vector
+ * @param[in] pTmpBuffer temporary buffer of length blockSize
+ * @return The log of the dot product .
+ */
+float16_t arm_logsumexp_dot_prod_f16(const float16_t * pSrcA,
+ const float16_t * pSrcB,
+ uint32_t blockSize,
+ float16_t *pTmpBuffer);
+
+
+/**
+ * @brief Kullback-Leibler
+ *
+ * @param[in] pSrcA Pointer to an array of input values for probability distribution A.
+ * @param[in] pSrcB Pointer to an array of input values for probability distribution B.
+ * @param[in] blockSize Number of samples in the input array.
+ * @return Kullback-Leibler Divergence D(A || B)
+ */
+float16_t arm_kullback_leibler_f16(const float16_t * pSrcA
+ ,const float16_t * pSrcB
+ ,uint32_t blockSize);
+
+
+/**
+ @brief Maximum value 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 maximum value returned here
+ */
+ void arm_max_no_idx_f16(
+ const float16_t *pSrc,
+ uint32_t blockSize,
+ float16_t *pResult);
+
+
+/**
+ @brief Minimum value 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 minimum value returned here
+ */
+ void arm_min_no_idx_f16(
+ const float16_t *pSrc,
+ uint32_t blockSize,
+ float16_t *pResult);
+
+
+/**
+ @brief Mean square error between two half precision float vectors.
+ @param[in] pSrcA points to the first input vector
+ @param[in] pSrcB points to the second input vector
+ @param[in] blockSize number of samples in input vector
+ @param[out] pResult mean square error
+*/
+void arm_mse_f16(
+ const float16_t * pSrcA,
+ const float16_t * pSrcB,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+
+/**
+ * @brief Sum value of a floating-point vector.
+ * @param[in] pSrc is input pointer
+ * @param[in] blockSize is the number of samples to process
+ * @param[out] pResult is output value.
+ */
+ void arm_accumulate_f16(
+ const float16_t * pSrc,
+ uint32_t blockSize,
+ float16_t * pResult);
+
+
+#endif /*defined(ARM_FLOAT16_SUPPORTED)*/
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* ifndef _STATISTICS_FUNCTIONS_F16_H_ */
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