114 lines
5.8 KiB
C
114 lines
5.8 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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#include "opus/opus_config.h"
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#include "opus/silk/float/main_FLP.h"
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#define MAX_ITERATIONS_RESIDUAL_NRG 10
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#define REGULARIZATION_FACTOR 1e-8f
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/* Residual energy: nrg = wxx - 2 * wXx * c + c' * wXX * c */
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silk_float silk_residual_energy_covar_FLP( /* O Weighted residual energy */
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const silk_float *c, /* I Filter coefficients */
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silk_float *wXX, /* I/O Weighted correlation matrix, reg. out */
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const silk_float *wXx, /* I Weighted correlation vector */
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const silk_float wxx, /* I Weighted correlation value */
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const opus_int D /* I Dimension */
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)
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{
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opus_int i, j, k;
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silk_float tmp, nrg = 0.0f, regularization;
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/* Safety checks */
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silk_assert( D >= 0 );
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regularization = REGULARIZATION_FACTOR * ( wXX[ 0 ] + wXX[ D * D - 1 ] );
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for( k = 0; k < MAX_ITERATIONS_RESIDUAL_NRG; k++ ) {
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nrg = wxx;
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tmp = 0.0f;
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for( i = 0; i < D; i++ ) {
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tmp += wXx[ i ] * c[ i ];
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}
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nrg -= 2.0f * tmp;
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/* compute c' * wXX * c, assuming wXX is symmetric */
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for( i = 0; i < D; i++ ) {
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tmp = 0.0f;
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for( j = i + 1; j < D; j++ ) {
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tmp += matrix_c_ptr( wXX, i, j, D ) * c[ j ];
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}
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nrg += c[ i ] * ( 2.0f * tmp + matrix_c_ptr( wXX, i, i, D ) * c[ i ] );
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}
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if( nrg > 0 ) {
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break;
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} else {
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/* Add white noise */
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for( i = 0; i < D; i++ ) {
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matrix_c_ptr( wXX, i, i, D ) += regularization;
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}
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/* Increase noise for next run */
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regularization *= 2.0f;
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}
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}
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if( k == MAX_ITERATIONS_RESIDUAL_NRG ) {
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silk_assert( nrg == 0 );
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nrg = 1.0f;
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}
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return nrg;
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}
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/* Calculates residual energies of input subframes where all subframes have LPC_order */
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/* of preceding samples */
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void silk_residual_energy_FLP(
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silk_float nrgs[ MAX_NB_SUBFR ], /* O Residual energy per subframe */
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const silk_float x[], /* I Input signal */
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silk_float a[ 2 ][ MAX_LPC_ORDER ], /* I AR coefs for each frame half */
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const silk_float gains[], /* I Quantization gains */
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const opus_int subfr_length, /* I Subframe length */
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const opus_int nb_subfr, /* I number of subframes */
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const opus_int LPC_order /* I LPC order */
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)
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{
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opus_int shift;
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silk_float *LPC_res_ptr, LPC_res[ ( MAX_FRAME_LENGTH + MAX_NB_SUBFR * MAX_LPC_ORDER ) / 2 ];
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LPC_res_ptr = LPC_res + LPC_order;
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shift = LPC_order + subfr_length;
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/* Filter input to create the LPC residual for each frame half, and measure subframe energies */
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silk_LPC_analysis_filter_FLP( LPC_res, a[ 0 ], x + 0 * shift, 2 * shift, LPC_order );
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nrgs[ 0 ] = ( silk_float )( gains[ 0 ] * gains[ 0 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, subfr_length ) );
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nrgs[ 1 ] = ( silk_float )( gains[ 1 ] * gains[ 1 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, subfr_length ) );
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if( nb_subfr == MAX_NB_SUBFR ) {
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silk_LPC_analysis_filter_FLP( LPC_res, a[ 1 ], x + 2 * shift, 2 * shift, LPC_order );
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nrgs[ 2 ] = ( silk_float )( gains[ 2 ] * gains[ 2 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, subfr_length ) );
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nrgs[ 3 ] = ( silk_float )( gains[ 3 ] * gains[ 3 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, subfr_length ) );
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}
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}
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