1 /*********************************************************************** 2 Copyright (c) 2006-2011, Skype Limited. All rights reserved. 3 Redistribution and use in source and binary forms, with or without 4 modification, are permitted provided that the following conditions 5 are met: 6 - Redistributions of source code must retain the above copyright notice, 7 this list of conditions and the following disclaimer. 8 - Redistributions in binary form must reproduce the above copyright 9 notice, this list of conditions and the following disclaimer in the 10 documentation and/or other materials provided with the distribution. 11 - Neither the name of Internet Society, IETF or IETF Trust, nor the 12 names of specific contributors, may be used to endorse or promote 13 products derived from this software without specific prior written 14 permission. 15 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 16 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 17 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 18 ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 19 LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 20 CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 21 SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 22 INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 23 CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 24 ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 25 POSSIBILITY OF SUCH DAMAGE. 26 ***********************************************************************/ 27 28 #ifdef HAVE_CONFIG_H 29 #include "config.h" 30 #endif 31 32 #include "main.h" 33 34 /* Entropy constrained matrix-weighted VQ, hard-coded to 5-element vectors, for a single input data vector */ 35 void silk_VQ_WMat_EC( 36 opus_int8 *ind, /* O index of best codebook vector */ 37 opus_int32 *rate_dist_Q14, /* O best weighted quant error + mu * rate */ 38 opus_int *gain_Q7, /* O sum of absolute LTP coefficients */ 39 const opus_int16 *in_Q14, /* I input vector to be quantized */ 40 const opus_int32 *W_Q18, /* I weighting matrix */ 41 const opus_int8 *cb_Q7, /* I codebook */ 42 const opus_uint8 *cb_gain_Q7, /* I codebook effective gain */ 43 const opus_uint8 *cl_Q5, /* I code length for each codebook vector */ 44 const opus_int mu_Q9, /* I tradeoff betw. weighted error and rate */ 45 const opus_int32 max_gain_Q7, /* I maximum sum of absolute LTP coefficients */ 46 opus_int L /* I number of vectors in codebook */ 47 ) 48 { 49 opus_int k, gain_tmp_Q7; 50 const opus_int8 *cb_row_Q7; 51 opus_int16 diff_Q14[ 5 ]; 52 opus_int32 sum1_Q14, sum2_Q16; 53 54 /* Loop over codebook */ 55 *rate_dist_Q14 = silk_int32_MAX; 56 cb_row_Q7 = cb_Q7; 57 for( k = 0; k < L; k++ ) { 58 gain_tmp_Q7 = cb_gain_Q7[k]; 59 60 diff_Q14[ 0 ] = in_Q14[ 0 ] - silk_LSHIFT( cb_row_Q7[ 0 ], 7 ); 61 diff_Q14[ 1 ] = in_Q14[ 1 ] - silk_LSHIFT( cb_row_Q7[ 1 ], 7 ); 62 diff_Q14[ 2 ] = in_Q14[ 2 ] - silk_LSHIFT( cb_row_Q7[ 2 ], 7 ); 63 diff_Q14[ 3 ] = in_Q14[ 3 ] - silk_LSHIFT( cb_row_Q7[ 3 ], 7 ); 64 diff_Q14[ 4 ] = in_Q14[ 4 ] - silk_LSHIFT( cb_row_Q7[ 4 ], 7 ); 65 66 /* Weighted rate */ 67 sum1_Q14 = silk_SMULBB( mu_Q9, cl_Q5[ k ] ); 68 69 /* Penalty for too large gain */ 70 sum1_Q14 = silk_ADD_LSHIFT32( sum1_Q14, silk_max( silk_SUB32( gain_tmp_Q7, max_gain_Q7 ), 0 ), 10 ); 71 72 silk_assert( sum1_Q14 >= 0 ); 73 74 /* first row of W_Q18 */ 75 sum2_Q16 = silk_SMULWB( W_Q18[ 1 ], diff_Q14[ 1 ] ); 76 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 2 ], diff_Q14[ 2 ] ); 77 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 3 ], diff_Q14[ 3 ] ); 78 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 4 ], diff_Q14[ 4 ] ); 79 sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 ); 80 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 0 ], diff_Q14[ 0 ] ); 81 sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 0 ] ); 82 83 /* second row of W_Q18 */ 84 sum2_Q16 = silk_SMULWB( W_Q18[ 7 ], diff_Q14[ 2 ] ); 85 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 8 ], diff_Q14[ 3 ] ); 86 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 9 ], diff_Q14[ 4 ] ); 87 sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 ); 88 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 6 ], diff_Q14[ 1 ] ); 89 sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 1 ] ); 90 91 /* third row of W_Q18 */ 92 sum2_Q16 = silk_SMULWB( W_Q18[ 13 ], diff_Q14[ 3 ] ); 93 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 14 ], diff_Q14[ 4 ] ); 94 sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 ); 95 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 12 ], diff_Q14[ 2 ] ); 96 sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 2 ] ); 97 98 /* fourth row of W_Q18 */ 99 sum2_Q16 = silk_SMULWB( W_Q18[ 19 ], diff_Q14[ 4 ] ); 100 sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 ); 101 sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 18 ], diff_Q14[ 3 ] ); 102 sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 3 ] ); 103 104 /* last row of W_Q18 */ 105 sum2_Q16 = silk_SMULWB( W_Q18[ 24 ], diff_Q14[ 4 ] ); 106 sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 4 ] ); 107 108 silk_assert( sum1_Q14 >= 0 ); 109 110 /* find best */ 111 if( sum1_Q14 < *rate_dist_Q14 ) { 112 *rate_dist_Q14 = sum1_Q14; 113 *ind = (opus_int8)k; 114 *gain_Q7 = gain_tmp_Q7; 115 } 116 117 /* Go to next cbk vector */ 118 cb_row_Q7 += LTP_ORDER; 119 } 120 } 121
