CMSIS DSP Library from CMSIS 2.0. See http://www.onarm.com/cmsis/ for full details
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arm_fir_q15.c
00001 /* ---------------------------------------------------------------------- 00002 * Copyright (C) 2010 ARM Limited. All rights reserved. 00003 * 00004 * $Date: 29. November 2010 00005 * $Revision: V1.0.3 00006 * 00007 * Project: CMSIS DSP Library 00008 * Title: arm_fir_q15.c 00009 * 00010 * Description: Q15 FIR filter processing function. 00011 * 00012 * Target Processor: Cortex-M4/Cortex-M3 00013 * 00014 * Version 1.0.3 2010/11/29 00015 * Re-organized the CMSIS folders and updated documentation. 00016 * 00017 * Version 1.0.2 2010/11/11 00018 * Documentation updated. 00019 * 00020 * Version 1.0.1 2010/10/05 00021 * Production release and review comments incorporated. 00022 * 00023 * Version 1.0.0 2010/09/20 00024 * Production release and review comments incorporated. 00025 * 00026 * Version 0.0.5 2010/04/26 00027 * incorporated review comments and updated with latest CMSIS layer 00028 * 00029 * Version 0.0.3 2010/03/10 00030 * Initial version 00031 * -------------------------------------------------------------------- */ 00032 00033 #include "arm_math.h" 00034 00035 /** 00036 * @ingroup groupFilters 00037 */ 00038 00039 /** 00040 * @addtogroup FIR 00041 * @{ 00042 */ 00043 00044 /** 00045 * @brief Processing function for the Q15 FIR filter. 00046 * @param[in] *S points to an instance of the Q15 FIR structure. 00047 * @param[in] *pSrc points to the block of input data. 00048 * @param[out] *pDst points to the block of output data. 00049 * @param[in] blockSize number of samples to process per call. 00050 * @return none. 00051 * 00052 * <b>Scaling and Overflow Behavior:</b> 00053 * \par 00054 * The function is implemented using a 64-bit internal accumulator. 00055 * Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. 00056 * The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format. 00057 * There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. 00058 * After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. 00059 * Lastly, the accumulator is saturated to yield a result in 1.15 format. 00060 * 00061 * \par 00062 * Refer to the function <code>arm_fir_fast_q15()</code> for a faster but less precise implementation of this function. 00063 */ 00064 00065 void arm_fir_q15( 00066 const arm_fir_instance_q15 * S, 00067 q15_t * pSrc, 00068 q15_t * pDst, 00069 uint32_t blockSize) 00070 { 00071 q15_t *pState = S->pState; /* State pointer */ 00072 q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */ 00073 q15_t *pStateCurnt; /* Points to the current sample of the state */ 00074 q15_t *px1; /* Temporary q15 pointer for state buffer */ 00075 q31_t *pb; /* Temporary pointer for coefficient buffer */ 00076 q31_t *px2; /* Temporary q31 pointer for SIMD state buffer accesses */ 00077 q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold SIMD state and coefficient values */ 00078 q63_t acc0, acc1, acc2, acc3; /* Accumulators */ 00079 uint32_t numTaps = S->numTaps; /* Number of taps in the filter */ 00080 uint32_t tapCnt, blkCnt; /* Loop counters */ 00081 00082 /* S->pState points to state array which contains previous frame (numTaps - 1) samples */ 00083 /* pStateCurnt points to the location where the new input data should be written */ 00084 pStateCurnt = &(S->pState[(numTaps - 1u)]); 00085 00086 /* Apply loop unrolling and compute 4 output values simultaneously. 00087 * The variables acc0 ... acc3 hold output values that are being computed: 00088 * 00089 * acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] 00090 * acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1] 00091 * acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2] 00092 * acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3] 00093 */ 00094 blkCnt = blockSize >> 2; 00095 00096 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00097 ** a second loop below computes the remaining 1 to 3 samples. */ 00098 while(blkCnt > 0u) 00099 { 00100 /* Copy four new input samples into the state buffer. 00101 ** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */ 00102 *__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++; 00103 *__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++; 00104 00105 /* Set all accumulators to zero */ 00106 acc0 = 0; 00107 acc1 = 0; 00108 acc2 = 0; 00109 acc3 = 0; 00110 00111 /* Initialize state pointer of type q15 */ 00112 px1 = pState; 00113 00114 /* Initialize coeff pointer of type q31 */ 00115 pb = (q31_t *) (pCoeffs); 00116 00117 /* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */ 00118 x0 = *(q31_t *) (px1++); 00119 00120 /* Read the third and forth samples from the state buffer: x[n-N-1], x[n-N-2] */ 00121 x1 = *(q31_t *) (px1++); 00122 00123 /* Loop over the number of taps. Unroll by a factor of 4. 00124 ** Repeat until we've computed numTaps-4 coefficients. */ 00125 tapCnt = numTaps >> 2; 00126 do 00127 { 00128 /* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */ 00129 c0 = *(pb++); 00130 00131 /* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */ 00132 acc0 = __SMLALD(x0, c0, acc0); 00133 00134 /* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */ 00135 acc1 = __SMLALD(x1, c0, acc1); 00136 00137 /* Read state x[n-N-2], x[n-N-3] */ 00138 x2 = *(q31_t *) (px1++); 00139 00140 /* Read state x[n-N-3], x[n-N-4] */ 00141 x3 = *(q31_t *) (px1++); 00142 00143 /* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */ 00144 acc2 = __SMLALD(x2, c0, acc2); 00145 00146 /* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */ 00147 acc3 = __SMLALD(x3, c0, acc3); 00148 00149 /* Read coefficients b[N-2], b[N-3] */ 00150 c0 = *(pb++); 00151 00152 /* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */ 00153 acc0 = __SMLALD(x2, c0, acc0); 00154 00155 /* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */ 00156 acc1 = __SMLALD(x3, c0, acc1); 00157 00158 /* Read state x[n-N-4], x[n-N-5] */ 00159 x0 = *(q31_t *) (px1++); 00160 00161 /* Read state x[n-N-5], x[n-N-6] */ 00162 x1 = *(q31_t *) (px1++); 00163 00164 /* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */ 00165 acc2 = __SMLALD(x0, c0, acc2); 00166 00167 /* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */ 00168 acc3 = __SMLALD(x1, c0, acc3); 00169 tapCnt--; 00170 00171 } 00172 while(tapCnt > 0u); 00173 00174 /* If the filter length is not a multiple of 4, compute the remaining filter taps. 00175 ** This is always be 2 taps since the filter length is even. */ 00176 if((numTaps & 0x3u) != 0u) 00177 { 00178 /* Read 2 coefficients */ 00179 c0 = *(pb++); 00180 /* Fetch 4 state variables */ 00181 x2 = *(q31_t *) (px1++); 00182 x3 = *(q31_t *) (px1++); 00183 00184 /* Perform the multiply-accumulates */ 00185 acc0 = __SMLALD(x0, c0, acc0); 00186 acc1 = __SMLALD(x1, c0, acc1); 00187 acc2 = __SMLALD(x2, c0, acc2); 00188 acc3 = __SMLALD(x3, c0, acc3); 00189 } 00190 00191 /* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation. 00192 ** Then store the 4 outputs in the destination buffer. */ 00193 *__SIMD32(pDst)++ = 00194 __PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16); 00195 *__SIMD32(pDst)++ = 00196 __PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16); 00197 00198 00199 /* Advance the state pointer by 4 to process the next group of 4 samples */ 00200 pState = pState + 4; 00201 00202 /* Decrement the loop counter */ 00203 blkCnt--; 00204 } 00205 00206 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00207 ** No loop unrolling is used. */ 00208 blkCnt = blockSize % 0x4u; 00209 while(blkCnt > 0u) 00210 { 00211 /* Copy two samples into state buffer */ 00212 *pStateCurnt++ = *pSrc++; 00213 00214 /* Set the accumulator to zero */ 00215 acc0 = 0; 00216 00217 /* Use SIMD to hold states and coefficients */ 00218 px2 = (q31_t *) pState; 00219 pb = (q31_t *) (pCoeffs); 00220 tapCnt = numTaps >> 1; 00221 00222 do 00223 { 00224 acc0 = __SMLALD(*px2++, *(pb++), acc0); 00225 tapCnt--; 00226 } 00227 while(tapCnt > 0u); 00228 00229 /* The result is in 2.30 format. Convert to 1.15 with saturation. 00230 ** Then store the output in the destination buffer. */ 00231 *pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16)); 00232 00233 /* Advance state pointer by 1 for the next sample */ 00234 pState = pState + 1; 00235 00236 /* Decrement the loop counter */ 00237 blkCnt--; 00238 } 00239 00240 /* Processing is complete. 00241 ** Now copy the last numTaps - 1 samples to the satrt of the state buffer. 00242 ** This prepares the state buffer for the next function call. */ 00243 00244 /* Points to the start of the state buffer */ 00245 pStateCurnt = S->pState; 00246 00247 /* Calculation of count for copying integer writes */ 00248 tapCnt = (numTaps - 1u) >> 2; 00249 00250 while(tapCnt > 0u) 00251 { 00252 *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; 00253 *__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++; 00254 00255 tapCnt--; 00256 00257 } 00258 00259 /* Calculation of count for remaining q15_t data */ 00260 tapCnt = (numTaps - 1u) % 0x4u; 00261 00262 /* copy remaining data */ 00263 while(tapCnt > 0u) 00264 { 00265 *pStateCurnt++ = *pState++; 00266 00267 /* Decrement the loop counter */ 00268 tapCnt--; 00269 } 00270 } 00271 00272 /** 00273 * @} end of FIR group 00274 */
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