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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 */
silk_VQ_WMat_EC_c(opus_int8 * ind,opus_int32 * rate_dist_Q14,opus_int * gain_Q7,const opus_int16 * in_Q14,const opus_int32 * W_Q18,const opus_int8 * cb_Q7,const opus_uint8 * cb_gain_Q7,const opus_uint8 * cl_Q5,const opus_int mu_Q9,const opus_int32 max_gain_Q7,opus_int L)35 void silk_VQ_WMat_EC_c(
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