From 86608c6770cf08c138a2bdab5855072f64be09ef Mon Sep 17 00:00:00 2001
From: joshua <joshua@joshuayun.com>
Date: Sat, 30 Dec 2023 23:54:31 -0500
Subject: initial commit

---
 .../DSP/Source/StatisticsFunctions/arm_mean_f32.c  | 166 +++++++++++++++++++++
 1 file changed, 166 insertions(+)
 create mode 100644 Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c

(limited to 'Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c')

diff --git a/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c
new file mode 100644
index 0000000..3373f82
--- /dev/null
+++ b/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_mean_f32.c
@@ -0,0 +1,166 @@
+/* ----------------------------------------------------------------------
+ * Project:      CMSIS DSP Library
+ * Title:        arm_mean_f32.c
+ * Description:  Mean value 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 mean Mean
+
+  Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector.
+  The underlying algorithm is used:
+
+  <pre>
+      Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
+  </pre>
+
+  There are separate functions for floating-point, Q31, Q15, and Q7 data types.
+ */
+
+/**
+  @addtogroup mean
+  @{
+ */
+
+/**
+  @brief         Mean 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    mean value returned here.
+  @return        none
+ */
+#if defined(ARM_MATH_NEON_EXPERIMENTAL)
+void arm_mean_f32(
+  const float32_t * pSrc,
+  uint32_t blockSize,
+  float32_t * pResult)
+{
+  float32_t sum = 0.0f;                          /* Temporary result storage */
+  float32x4_t sumV = vdupq_n_f32(0.0f);                          /* Temporary result storage */
+  float32x2_t sumV2;
+
+  uint32_t blkCnt;                               /* Loop counter */
+
+  float32_t in1, in2, in3, in4;
+  float32x4_t inV;
+
+  blkCnt = blockSize >> 2U;
+
+  /* Compute 4 outputs at a time.
+   ** a second loop below computes the remaining 1 to 3 samples. */
+  while (blkCnt > 0U)
+  {
+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
+    inV = vld1q_f32(pSrc);
+    sumV = vaddq_f32(sumV, inV);
+    
+    pSrc += 4;
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));
+  sum = sumV2[0] + sumV2[1];
+
+  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
+   ** No loop unrolling is used. */
+  blkCnt = blockSize & 3;
+
+  while (blkCnt > 0U)
+  {
+    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
+    sum += *pSrc++;
+
+    /* Decrement the loop counter */
+    blkCnt--;
+  }
+
+  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */
+  /* Store the result to the destination */
+  *pResult = sum / (float32_t) blockSize;
+}
+#else
+void arm_mean_f32(
+  const float32_t * pSrc,
+        uint32_t blockSize,
+        float32_t * pResult)
+{
+        uint32_t blkCnt;                               /* Loop counter */
+        float32_t sum = 0.0f;                          /* Temporary result storage */
+
+#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 += *pSrc++;
+
+    sum += *pSrc++;
+
+    sum += *pSrc++;
+
+    sum += *pSrc++;
+
+    /* Decrement the 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 += *pSrc++;
+
+    /* Decrement loop counter */
+    blkCnt--;
+  }
+
+  /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize  */
+  /* Store result to destination */
+  *pResult = (sum / blockSize);
+}
+#endif /* #if defined(ARM_MATH_NEON) */
+
+/**
+  @} end of mean group
+ */
-- 
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