108 lines
5.4 KiB
C
108 lines
5.4 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, (subject to the limitations in the disclaimer below)
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are permitted provided that the following conditions 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 Skype Limited, nor the names of specific
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contributors, may be used to endorse or promote products derived from
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this software without specific prior written permission.
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NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED
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BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
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CONTRIBUTORS ''AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING,
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BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
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NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
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USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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***********************************************************************/
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#include "SKP_Silk_main_FIX.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 SKP_Silk_VQ_WMat_EC_FIX(
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SKP_int *ind, /* O index of best codebook vector */
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SKP_int32 *rate_dist_Q14, /* O best weighted quantization error + mu * rate*/
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const SKP_int16 *in_Q14, /* I input vector to be quantized */
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const SKP_int32 *W_Q18, /* I weighting matrix */
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const SKP_int16 *cb_Q14, /* I codebook */
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const SKP_int16 *cl_Q6, /* I code length for each codebook vector */
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const SKP_int mu_Q8, /* I tradeoff between weighted error and rate */
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SKP_int L /* I number of vectors in codebook */
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)
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{
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SKP_int k;
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const SKP_int16 *cb_row_Q14;
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SKP_int16 diff_Q14[ 5 ];
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SKP_int32 sum1_Q14, sum2_Q16;
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/* Loop over codebook */
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*rate_dist_Q14 = SKP_int32_MAX;
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cb_row_Q14 = cb_Q14;
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for( k = 0; k < L; k++ ) {
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diff_Q14[ 0 ] = in_Q14[ 0 ] - cb_row_Q14[ 0 ];
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diff_Q14[ 1 ] = in_Q14[ 1 ] - cb_row_Q14[ 1 ];
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diff_Q14[ 2 ] = in_Q14[ 2 ] - cb_row_Q14[ 2 ];
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diff_Q14[ 3 ] = in_Q14[ 3 ] - cb_row_Q14[ 3 ];
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diff_Q14[ 4 ] = in_Q14[ 4 ] - cb_row_Q14[ 4 ];
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/* Weighted rate */
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sum1_Q14 = SKP_SMULBB( mu_Q8, cl_Q6[ k ] );
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SKP_assert( sum1_Q14 >= 0 );
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/* first row of W_Q18 */
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sum2_Q16 = SKP_SMULWB( W_Q18[ 1 ], diff_Q14[ 1 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 2 ], diff_Q14[ 2 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 3 ], diff_Q14[ 3 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 4 ], diff_Q14[ 4 ] );
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sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 0 ], diff_Q14[ 0 ] );
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sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 0 ] );
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/* second row of W_Q18 */
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sum2_Q16 = SKP_SMULWB( W_Q18[ 7 ], diff_Q14[ 2 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 8 ], diff_Q14[ 3 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 9 ], diff_Q14[ 4 ] );
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sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 6 ], diff_Q14[ 1 ] );
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sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 1 ] );
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/* third row of W_Q18 */
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sum2_Q16 = SKP_SMULWB( W_Q18[ 13 ], diff_Q14[ 3 ] );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 14 ], diff_Q14[ 4 ] );
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sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 12 ], diff_Q14[ 2 ] );
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sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 2 ] );
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/* fourth row of W_Q18 */
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sum2_Q16 = SKP_SMULWB( W_Q18[ 19 ], diff_Q14[ 4 ] );
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sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
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sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 18 ], diff_Q14[ 3 ] );
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sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 3 ] );
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/* last row of W_Q18 */
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sum2_Q16 = SKP_SMULWB( W_Q18[ 24 ], diff_Q14[ 4 ] );
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sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16, diff_Q14[ 4 ] );
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SKP_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 = k;
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}
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/* Go to next cbk vector */
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cb_row_Q14 += LTP_ORDER;
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}
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}
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