Cleans up quantum/keymap situation, removes extra lufa folders (#416)

[qmk_firmware.git] / tmk_core / tool / mbed / mbed-sdk / libraries / dsp / cmsis_dsp / StatisticsFunctions / arm_rms_f32.c

diff --git a/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/StatisticsFunctions/arm_rms_f32.c b/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/StatisticsFunctions/arm_rms_f32.c
deleted file mode 100644 (file)
index b3f67db..0000000
--- a/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/StatisticsFunctions/arm_rms_f32.c
+++ /dev/null
@@ -1,141 +0,0 @@
-/* ----------------------------------------------------------------------    
-* Copyright (C) 2010-2013 ARM Limited. All rights reserved.    
-*    
-* $Date:        17. January 2013
-* $Revision:   V1.4.1  
-*    
-* Project:         CMSIS DSP Library    
-* Title:               arm_rms_f32.c    
-*    
-* Description: Root mean square value of an array of F32 type    
-*    
-* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
-*  
-* Redistribution and use in source and binary forms, with or without 
-* modification, are permitted provided that the following conditions
-* are met:
-*   - Redistributions of source code must retain the above copyright
-*     notice, this list of conditions and the following disclaimer.
-*   - Redistributions in binary form must reproduce the above copyright
-*     notice, this list of conditions and the following disclaimer in
-*     the documentation and/or other materials provided with the 
-*     distribution.
-*   - Neither the name of ARM LIMITED nor the names of its contributors
-*     may be used to endorse or promote products derived from this
-*     software without specific prior written permission.
-*
-* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 
-* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-* POSSIBILITY OF SUCH DAMAGE.  
-* ---------------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**    
- * @ingroup groupStats    
- */
-
-/**    
- * @defgroup RMS Root mean square (RMS)    
- *    
- *     
- * Calculates the Root Mean Sqaure 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 length of the input vector    
- * @param[out]      *pResult rms value returned here    
- * @return none.    
- *    
- */
-
-void arm_rms_f32(
-  float32_t * pSrc,
-  uint32_t blockSize,
-  float32_t * pResult)
-{
-  float32_t sum = 0.0f;                          /* Accumulator */
-  float32_t in;                                  /* Tempoprary variable to store input value */
-  uint32_t blkCnt;                               /* loop counter */
-
-#ifndef ARM_MATH_CM0_FAMILY
-
-  /* Run the below code for Cortex-M4 and Cortex-M3 */
-
-  /* loop Unrolling */
-  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)
-  {
-    /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
-    /* Compute sum of the squares and then store the result in a temporary variable, sum  */
-    in = *pSrc++;
-    sum += in * in;
-    in = *pSrc++;
-    sum += in * in;
-    in = *pSrc++;
-    sum += in * in;
-    in = *pSrc++;
-    sum += in * in;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.    
-   ** No loop unrolling is used. */
-  blkCnt = blockSize % 0x4u;
-
-#else
-
-  /* Run the below code for Cortex-M0 */
-
-  /* Loop over blockSize number of values */
-  blkCnt = blockSize;
-
-#endif /* #ifndef ARM_MATH_CM0_FAMILY */
-
-  while(blkCnt > 0u)
-  {
-    /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
-    /* Compute sum of the squares and then store the results in a temporary variable, sum  */
-    in = *pSrc++;
-    sum += in * in;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* Compute Rms and store the result in the destination */
-  arm_sqrt_f32(sum / (float32_t) blockSize, pResult);
-}
-
-/**    
- * @} end of RMS group    
- */