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https://github.com/UberGames/lilium-voyager.git
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131 lines
7 KiB
C
131 lines
7 KiB
C
/***********************************************************************
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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 *res_nrg_Q15, /* O best residual energy */
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opus_int32 *rate_dist_Q8, /* O best total bitrate */
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opus_int *gain_Q7, /* O sum of absolute LTP coefficients */
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const opus_int32 *XX_Q17, /* I correlation matrix */
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const opus_int32 *xX_Q17, /* I correlation vector */
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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 subfr_len, /* I number of samples per subframe */
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const opus_int32 max_gain_Q7, /* I maximum sum of absolute LTP coefficients */
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const 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_int32 neg_xX_Q24[ 5 ];
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opus_int32 sum1_Q15, sum2_Q24;
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opus_int32 bits_res_Q8, bits_tot_Q8;
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/* Negate and convert to new Q domain */
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neg_xX_Q24[ 0 ] = -silk_LSHIFT32( xX_Q17[ 0 ], 7 );
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neg_xX_Q24[ 1 ] = -silk_LSHIFT32( xX_Q17[ 1 ], 7 );
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neg_xX_Q24[ 2 ] = -silk_LSHIFT32( xX_Q17[ 2 ], 7 );
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neg_xX_Q24[ 3 ] = -silk_LSHIFT32( xX_Q17[ 3 ], 7 );
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neg_xX_Q24[ 4 ] = -silk_LSHIFT32( xX_Q17[ 4 ], 7 );
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/* Loop over codebook */
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*rate_dist_Q8 = silk_int32_MAX;
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*res_nrg_Q15 = silk_int32_MAX;
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cb_row_Q7 = cb_Q7;
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/* In things go really bad, at least *ind is set to something safe. */
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*ind = 0;
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for( k = 0; k < L; k++ ) {
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opus_int32 penalty;
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gain_tmp_Q7 = cb_gain_Q7[k];
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/* Weighted rate */
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/* Quantization error: 1 - 2 * xX * cb + cb' * XX * cb */
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sum1_Q15 = SILK_FIX_CONST( 1.001, 15 );
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/* Penalty for too large gain */
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penalty = silk_LSHIFT32( silk_max( silk_SUB32( gain_tmp_Q7, max_gain_Q7 ), 0 ), 11 );
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/* first row of XX_Q17 */
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sum2_Q24 = silk_MLA( neg_xX_Q24[ 0 ], XX_Q17[ 1 ], cb_row_Q7[ 1 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 2 ], cb_row_Q7[ 2 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 3 ], cb_row_Q7[ 3 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 4 ], cb_row_Q7[ 4 ] );
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sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 0 ], cb_row_Q7[ 0 ] );
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sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 0 ] );
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/* second row of XX_Q17 */
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sum2_Q24 = silk_MLA( neg_xX_Q24[ 1 ], XX_Q17[ 7 ], cb_row_Q7[ 2 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 8 ], cb_row_Q7[ 3 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 9 ], cb_row_Q7[ 4 ] );
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sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 6 ], cb_row_Q7[ 1 ] );
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sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 1 ] );
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/* third row of XX_Q17 */
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sum2_Q24 = silk_MLA( neg_xX_Q24[ 2 ], XX_Q17[ 13 ], cb_row_Q7[ 3 ] );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 14 ], cb_row_Q7[ 4 ] );
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sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 12 ], cb_row_Q7[ 2 ] );
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sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 2 ] );
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/* fourth row of XX_Q17 */
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sum2_Q24 = silk_MLA( neg_xX_Q24[ 3 ], XX_Q17[ 19 ], cb_row_Q7[ 4 ] );
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sum2_Q24 = silk_LSHIFT32( sum2_Q24, 1 );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 18 ], cb_row_Q7[ 3 ] );
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sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 3 ] );
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/* last row of XX_Q17 */
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sum2_Q24 = silk_LSHIFT32( neg_xX_Q24[ 4 ], 1 );
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sum2_Q24 = silk_MLA( sum2_Q24, XX_Q17[ 24 ], cb_row_Q7[ 4 ] );
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sum1_Q15 = silk_SMLAWB( sum1_Q15, sum2_Q24, cb_row_Q7[ 4 ] );
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/* find best */
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if( sum1_Q15 >= 0 ) {
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/* Translate residual energy to bits using high-rate assumption (6 dB ==> 1 bit/sample) */
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bits_res_Q8 = silk_SMULBB( subfr_len, silk_lin2log( sum1_Q15 + penalty) - (15 << 7) );
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/* In the following line we reduce the codelength component by half ("-1"); seems to slghtly improve quality */
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bits_tot_Q8 = silk_ADD_LSHIFT32( bits_res_Q8, cl_Q5[ k ], 3-1 );
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if( bits_tot_Q8 <= *rate_dist_Q8 ) {
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*rate_dist_Q8 = bits_tot_Q8;
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*res_nrg_Q15 = sum1_Q15 + penalty;
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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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}
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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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