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diff --git a/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_vlog_q15.c b/Drivers/CMSIS/DSP/Source/FastMathFunctions/arm_vlog_q15.c
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+/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_vlog_q15
+ * Description: Q15 vector log
+ *
+ * $Date: 19 July 2021
+ * $Revision: V1.10.0
+ *
+ * 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/fast_math_functions.h"
+
+
+#define LOG_Q15_ACCURACY 15
+
+/* Bit to represent the normalization factor
+ It is Ceiling[Log2[LOG_Q15_ACCURACY]] of the previous value.
+ The Log2 algorithm is assuming that the value x is
+ 1 <= x < 2.
+
+ But input value could be as small a 2^-LOG_Q15_ACCURACY
+ which would give an integer part of -15.
+*/
+#define LOG_Q15_INTEGER_PART 4
+
+/* 2.0 in q14 */
+#define LOQ_Q15_THRESHOLD (1u << LOG_Q15_ACCURACY)
+
+/* HALF */
+#define LOQ_Q15_Q16_HALF LOQ_Q15_THRESHOLD
+#define LOQ_Q15_Q14_HALF (LOQ_Q15_Q16_HALF >> 2)
+
+
+/* 1.0 / Log2[Exp[1]] in q15 */
+#define LOG_Q15_INVLOG2EXP 0x58b9u
+
+
+/* Clay Turner algorithm */
+static uint16_t arm_scalar_log_q15(uint16_t src)
+{
+ int i;
+
+ int16_t c = __CLZ(src)-16;
+ int16_t normalization=0;
+
+ /* 0.5 in q11 */
+ uint16_t inc = LOQ_Q15_Q16_HALF >> (LOG_Q15_INTEGER_PART + 1);
+
+ /* Will compute y = log2(x) for 1 <= x < 2.0 */
+ uint16_t x;
+
+ /* q11 */
+ uint16_t y=0;
+
+ /* q11 */
+ int16_t tmp;
+
+
+ /* Normalize and convert to q14 format */
+ x = src;
+ if ((c-1) < 0)
+ {
+ x = x >> (1-c);
+ }
+ else
+ {
+ x = x << (c-1);
+ }
+ normalization = c;
+
+
+
+ /* Compute the Log2. Result is in q11 instead of q16
+ because we know 0 <= y < 1.0 but
+ we want a result allowing to do a
+ product on int16 rather than having to go
+ through int32
+ */
+ for(i = 0; i < LOG_Q15_ACCURACY ; i++)
+ {
+ x = (((int32_t)x*x)) >> (LOG_Q15_ACCURACY - 1);
+
+ if (x >= LOQ_Q15_THRESHOLD)
+ {
+ y += inc ;
+ x = x >> 1;
+ }
+ inc = inc >> 1;
+ }
+
+
+ /*
+ Convert the Log2 to Log and apply normalization.
+ We compute (y - normalisation) * (1 / Log2[e]).
+
+ */
+
+ /* q11 */
+ //tmp = y - ((int32_t)normalization << (LOG_Q15_ACCURACY + 1));
+ tmp = (int16_t)y - (normalization << (LOG_Q15_ACCURACY - LOG_Q15_INTEGER_PART));
+
+ /* q4.11 */
+ y = ((int32_t)tmp * LOG_Q15_INVLOG2EXP) >> 15;
+
+ return(y);
+
+}
+
+#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+
+q15x8_t vlogq_q15(q15x8_t src)
+{
+
+ int i;
+
+ int16x8_t c = vclzq_s16(src);
+ int16x8_t normalization = c;
+
+
+ /* 0.5 in q11 */
+ uint16_t inc = LOQ_Q15_Q16_HALF >> (LOG_Q15_INTEGER_PART + 1);
+
+ /* Will compute y = log2(x) for 1 <= x < 2.0 */
+ uint16x8_t x;
+
+
+ /* q11 */
+ uint16x8_t y = vdupq_n_u16(0);
+
+
+ /* q11 */
+ int16x8_t vtmp;
+
+
+ mve_pred16_t p;
+
+ /* Normalize and convert to q14 format */
+
+
+ vtmp = vsubq_n_s16(c,1);
+ x = vshlq_u16((uint16x8_t)src,vtmp);
+
+
+ /* Compute the Log2. Result is in q11 instead of q16
+ because we know 0 <= y < 1.0 but
+ we want a result allowing to do a
+ product on int16 rather than having to go
+ through int32
+ */
+ for(i = 0; i < LOG_Q15_ACCURACY ; i++)
+ {
+ x = vmulhq_u16(x,x);
+ x = vshlq_n_u16(x,2);
+
+
+ p = vcmphiq_u16(x,vdupq_n_u16(LOQ_Q15_THRESHOLD));
+ y = vaddq_m_n_u16(y, y,inc,p);
+ x = vshrq_m_n_u16(x,x,1,p);
+
+ inc = inc >> 1;
+ }
+
+
+ /*
+ Convert the Log2 to Log and apply normalization.
+ We compute (y - normalisation) * (1 / Log2[e]).
+
+ */
+
+ /* q11 */
+ // tmp = (int16_t)y - (normalization << (LOG_Q15_ACCURACY - LOG_Q15_INTEGER_PART));
+ vtmp = vshlq_n_s16(normalization,LOG_Q15_ACCURACY - LOG_Q15_INTEGER_PART);
+ vtmp = vsubq_s16((int16x8_t)y,vtmp);
+
+
+
+ /* q4.11 */
+ // y = ((int32_t)tmp * LOG_Q15_INVLOG2EXP) >> 15;
+ vtmp = vqdmulhq_n_s16(vtmp,LOG_Q15_INVLOG2EXP);
+
+ return(vtmp);
+}
+#endif
+
+/**
+ @ingroup groupFastMath
+ */
+
+/**
+ @addtogroup vlog
+ @{
+ */
+
+/**
+ @brief q15 vector of log values.
+ @param[in] pSrc points to the input vector in q15
+ @param[out] pDst points to the output vector in q4.11
+ @param[in] blockSize number of samples in each vector
+ @return none
+
+ */
+
+void arm_vlog_q15(
+ const q15_t * pSrc,
+ q15_t * pDst,
+ uint32_t blockSize)
+{
+ uint32_t blkCnt; /* loop counters */
+
+ #if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
+ q15x8_t src;
+ q15x8_t dst;
+
+ blkCnt = blockSize >> 3;
+
+ while (blkCnt > 0U)
+ {
+ src = vld1q(pSrc);
+ dst = vlogq_q15(src);
+ vst1q(pDst, dst);
+
+ pSrc += 8;
+ pDst += 8;
+ /* Decrement loop counter */
+ blkCnt--;
+ }
+
+ blkCnt = blockSize & 7;
+ #else
+ blkCnt = blockSize;
+ #endif
+
+ while (blkCnt > 0U)
+ {
+ *pDst++ = arm_scalar_log_q15(*pSrc++);
+
+ /* Decrement loop counter */
+ blkCnt--;
+ }
+}
+
+/**
+ @} end of vlog group
+ */