CMSIS DSP Library from CMSIS 2.0. See http://www.onarm.com/cmsis/ for full details

Dependents:   K22F_DSP_Matrix_least_square BNO055-ELEC3810 1BNO055 ECE4180Project--Slave2 ... more

Revision:
0:1014af42efd9
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/src/Cortex-M4-M3/MatrixFunctions/arm_mat_mult_q15.c	Thu Mar 10 15:07:50 2011 +0000
@@ -0,0 +1,243 @@
+/* ----------------------------------------------------------------------  
+* Copyright (C) 2010 ARM Limited. All rights reserved.  
+*  
+* $Date:        29. November 2010  
+* $Revision: 	V1.0.3  
+*  
+* Project: 	    CMSIS DSP Library  
+* Title:	    arm_mat_mult_q15.c  
+*  
+* Description:	 Q15 matrix multiplication.  
+*  
+* Target Processor: Cortex-M4/Cortex-M3
+*  
+* Version 1.0.3 2010/11/29 
+*    Re-organized the CMSIS folders and updated documentation.  
+*   
+* Version 1.0.2 2010/11/11  
+*    Documentation updated.   
+*  
+* Version 1.0.1 2010/10/05   
+*    Production release and review comments incorporated.  
+*  
+* Version 1.0.0 2010/09/20   
+*    Production release and review comments incorporated.  
+*  
+* Version 0.0.5  2010/04/26   
+*    incorporated review comments and updated with latest CMSIS layer  
+*  
+* Version 0.0.3  2010/03/10   
+*    Initial version  
+* -------------------------------------------------------------------- */ 
+ 
+#include "arm_math.h" 
+ 
+/**  
+ * @ingroup groupMatrix  
+ */ 
+ 
+/**  
+ * @addtogroup MatrixMult  
+ * @{  
+ */ 
+ 
+ 
+/**  
+ * @brief Q15 matrix multiplication  
+ * @param[in]       *pSrcA points to the first input matrix structure  
+ * @param[in]       *pSrcB points to the second input matrix structure  
+ * @param[out]      *pDst points to output matrix structure  
+ * @param[in]		*pState points to the array for storing intermediate results 
+ * @return     		The function returns either  
+ * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.  
+ *  
+ * @details  
+ * <b>Scaling and Overflow Behavior:</b>  
+ *  
+ * \par  
+ * The function is implemented using a 64-bit internal accumulator. The inputs to the  
+ * multiplications are in 1.15 format and multiplications yield a 2.30 result.  
+ * The 2.30 intermediate  
+ * results are accumulated in a 64-bit accumulator in 34.30 format. This approach  
+ * provides 33 guard bits and there is no risk of overflow. The 34.30 result is then  
+ * truncated to 34.15 format by discarding the low 15 bits and then saturated to  
+ * 1.15 format.  
+ *  
+ * \par  
+ * Refer to <code>arm_mat_mult_fast_q15()</code> for a faster but less precise version of this function.  
+ *  
+ */ 
+ 
+arm_status arm_mat_mult_q15( 
+  const arm_matrix_instance_q15 * pSrcA, 
+  const arm_matrix_instance_q15 * pSrcB, 
+  arm_matrix_instance_q15 * pDst, 
+  q15_t * pState) 
+{ 
+  q63_t sum;                                     /* accumulator */ 
+  q31_t in;                                      /* Temporary variable to hold the input value */ 
+  q15_t *pSrcBT = pState;                        /* input data matrix pointer for transpose */ 
+  q15_t *pInA = pSrcA->pData;                    /* input data matrix pointer A of Q15 type */ 
+  q15_t *pInB = pSrcB->pData;                    /* input data matrix pointer B of Q15 type */ 
+//  q15_t *pDst = pDst->pData;                     /* output data matrix pointer */  
+  q15_t *px;                                     /* Temporary output data matrix pointer */ 
+  uint16_t numRowsA = pSrcA->numRows;            /* number of rows of input matrix A    */ 
+  uint16_t numColsB = pSrcB->numCols;            /* number of columns of input matrix B */ 
+  uint16_t numColsA = pSrcA->numCols;            /* number of columns of input matrix A */ 
+  uint16_t numRowsB = pSrcB->numRows;            /* number of rows of input matrix A    */ 
+  uint16_t col, i = 0u, row = numRowsB, colCnt;  /* loop counters */ 
+  arm_status status;                             /* status of matrix multiplication */ 
+ 
+#ifdef ARM_MATH_MATRIX_CHECK 
+  /* Check for matrix mismatch condition */ 
+  if((pSrcA->numCols != pSrcB->numRows) || 
+     (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) 
+  { 
+    /* Set status as ARM_MATH_SIZE_MISMATCH */ 
+    status = ARM_MATH_SIZE_MISMATCH; 
+  } 
+  else 
+#endif 
+  { 
+    /* Matrix transpose */ 
+    do 
+    { 
+      /* Apply loop unrolling and exchange the columns with row elements */ 
+      col = numColsB >> 2; 
+ 
+      /* The pointer px is set to starting address of the column being processed */ 
+      px = pSrcBT + i; 
+ 
+      /* 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(col > 0u) 
+      { 
+        /* Read two elements from the row */ 
+        in = *__SIMD32(pInB)++; 
+ 
+        /* Unpack and store one element in the destination */ 
+        *px = (q15_t) in; 
+ 
+        /* Update the pointer px to point to the next row of the transposed matrix */ 
+        px += numRowsB; 
+ 
+        /* Unpack and store the second element in the destination */ 
+        *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); 
+ 
+        /* Update the pointer px to point to the next row of the transposed matrix */ 
+        px += numRowsB; 
+ 
+        /* Read two elements from the row */ 
+        in = *__SIMD32(pInB)++; 
+ 
+        /* Unpack and store one element in the destination */ 
+        *px = (q15_t) in; 
+ 
+        /* Update the pointer px to point to the next row of the transposed matrix */ 
+        px += numRowsB; 
+ 
+        /* Unpack and store the second element in the destination */ 
+        *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); 
+ 
+        /* Update the pointer px to point to the next row of the transposed matrix */ 
+        px += numRowsB; 
+ 
+        /* Decrement the column loop counter */ 
+        col--; 
+      } 
+ 
+      /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here.  
+       ** No loop unrolling is used. */ 
+      col = numColsB % 0x4u; 
+ 
+      while(col > 0u) 
+      { 
+        /* Read and store the input element in the destination */ 
+        *px = *pInB++; 
+ 
+        /* Update the pointer px to point to the next row of the transposed matrix */ 
+        px += numRowsB; 
+ 
+        /* Decrement the column loop counter */ 
+        col--; 
+      } 
+ 
+      i++; 
+ 
+      /* Decrement the row loop counter */ 
+      row--; 
+ 
+    } while(row > 0u); 
+ 
+    /* Reset the variables for the usage in the following multiplication process */ 
+    row = numRowsA; 
+    i = 0u; 
+    px = pDst->pData; 
+ 
+    /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ 
+    /* row loop */ 
+    do 
+    { 
+      /* For every row wise process, the column loop counter is to be initiated */ 
+      col = numColsB; 
+ 
+      /* For every row wise process, the pIn2 pointer is set  
+       ** to the starting address of the transposed pSrcB data */ 
+      pInB = pSrcBT; 
+ 
+      /* column loop */ 
+      do 
+      { 
+        /* Set the variable sum, that acts as accumulator, to zero */ 
+        sum = 0; 
+ 
+        /* Apply loop unrolling and compute 2 MACs simultaneously. */ 
+        colCnt = numColsA >> 1; 
+ 
+        /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ 
+        pInA = pSrcA->pData + i; 
+ 
+        /* matrix multiplication */ 
+        while(colCnt > 0u) 
+        { 
+          /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ 
+          sum = __SMLALD(*__SIMD32(pInA)++, *__SIMD32(pInB)++, sum); 
+ 
+          /* Decrement the loop counter */ 
+          colCnt--; 
+        } 
+ 
+        /* process odd column samples */ 
+        if((numColsA & 0x1u) > 0u) 
+        { 
+          /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ 
+          sum += ((q31_t) * pInA * (*pInB++)); 
+        } 
+ 
+        /* Saturate and store the result in the destination buffer */ 
+        *px = (q15_t) (__SSAT((sum >> 15), 16)); 
+        px++; 
+ 
+        /* Decrement the column loop counter */ 
+        col--; 
+ 
+      } while(col > 0u); 
+ 
+      i = i + numColsA; 
+ 
+      /* Decrement the row loop counter */ 
+      row--; 
+ 
+    } while(row > 0u); 
+ 
+    /* set status as ARM_MATH_SUCCESS */ 
+    status = ARM_MATH_SUCCESS; 
+  } 
+ 
+  /* Return to application */ 
+  return (status); 
+} 
+ 
+/**  
+ * @} end of MatrixMult group  
+ */