forked from Supositware/Haha-Yes
121 lines
6 KiB
C
121 lines
6 KiB
C
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/***********************************************************************
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Copyright (c) 2006-2011, Skype Limited. All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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- Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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- Neither the name of Internet Society, IETF or IETF Trust, nor the
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names of specific contributors, may be used to endorse or promote
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products derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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***********************************************************************/
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#ifdef HAVE_CONFIG_H
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#include "config.h"
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#endif
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#include "main.h"
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/* Entropy constrained matrix-weighted VQ, hard-coded to 5-element vectors, for a single input data vector */
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void silk_VQ_WMat_EC_c(
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opus_int8 *ind, /* O index of best codebook vector */
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opus_int32 *rate_dist_Q14, /* O best weighted quant error + mu * rate */
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opus_int *gain_Q7, /* O sum of absolute LTP coefficients */
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const opus_int16 *in_Q14, /* I input vector to be quantized */
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const opus_int32 *W_Q18, /* I weighting matrix */
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const opus_int8 *cb_Q7, /* I codebook */
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const opus_uint8 *cb_gain_Q7, /* I codebook effective gain */
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const opus_uint8 *cl_Q5, /* I code length for each codebook vector */
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const opus_int mu_Q9, /* I tradeoff betw. weighted error and rate */
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const opus_int32 max_gain_Q7, /* I maximum sum of absolute LTP coefficients */
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opus_int L /* I number of vectors in codebook */
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)
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{
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opus_int k, gain_tmp_Q7;
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const opus_int8 *cb_row_Q7;
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opus_int16 diff_Q14[ 5 ];
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opus_int32 sum1_Q14, sum2_Q16;
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/* Loop over codebook */
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*rate_dist_Q14 = silk_int32_MAX;
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cb_row_Q7 = cb_Q7;
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for( k = 0; k < L; k++ ) {
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gain_tmp_Q7 = cb_gain_Q7[k];
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diff_Q14[ 0 ] = in_Q14[ 0 ] - silk_LSHIFT( cb_row_Q7[ 0 ], 7 );
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diff_Q14[ 1 ] = in_Q14[ 1 ] - silk_LSHIFT( cb_row_Q7[ 1 ], 7 );
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diff_Q14[ 2 ] = in_Q14[ 2 ] - silk_LSHIFT( cb_row_Q7[ 2 ], 7 );
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diff_Q14[ 3 ] = in_Q14[ 3 ] - silk_LSHIFT( cb_row_Q7[ 3 ], 7 );
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diff_Q14[ 4 ] = in_Q14[ 4 ] - silk_LSHIFT( cb_row_Q7[ 4 ], 7 );
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/* Weighted rate */
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sum1_Q14 = silk_SMULBB( mu_Q9, cl_Q5[ k ] );
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/* Penalty for too large gain */
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sum1_Q14 = silk_ADD_LSHIFT32( sum1_Q14, silk_max( silk_SUB32( gain_tmp_Q7, max_gain_Q7 ), 0 ), 10 );
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silk_assert( sum1_Q14 >= 0 );
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/* first row of W_Q18 */
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sum2_Q16 = silk_SMULWB( W_Q18[ 1 ], diff_Q14[ 1 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 2 ], diff_Q14[ 2 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 3 ], diff_Q14[ 3 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 4 ], diff_Q14[ 4 ] );
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sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 0 ], diff_Q14[ 0 ] );
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sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 0 ] );
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/* second row of W_Q18 */
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sum2_Q16 = silk_SMULWB( W_Q18[ 7 ], diff_Q14[ 2 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 8 ], diff_Q14[ 3 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 9 ], diff_Q14[ 4 ] );
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sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 6 ], diff_Q14[ 1 ] );
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sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 1 ] );
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/* third row of W_Q18 */
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sum2_Q16 = silk_SMULWB( W_Q18[ 13 ], diff_Q14[ 3 ] );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 14 ], diff_Q14[ 4 ] );
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sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 12 ], diff_Q14[ 2 ] );
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sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 2 ] );
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/* fourth row of W_Q18 */
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sum2_Q16 = silk_SMULWB( W_Q18[ 19 ], diff_Q14[ 4 ] );
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sum2_Q16 = silk_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = silk_SMLAWB( sum2_Q16, W_Q18[ 18 ], diff_Q14[ 3 ] );
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sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 3 ] );
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/* last row of W_Q18 */
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sum2_Q16 = silk_SMULWB( W_Q18[ 24 ], diff_Q14[ 4 ] );
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sum1_Q14 = silk_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 4 ] );
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silk_assert( sum1_Q14 >= 0 );
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/* find best */
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if( sum1_Q14 < *rate_dist_Q14 ) {
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*rate_dist_Q14 = sum1_Q14;
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*ind = (opus_int8)k;
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*gain_Q7 = gain_tmp_Q7;
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}
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/* Go to next cbk vector */
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cb_row_Q7 += LTP_ORDER;
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}
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}
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