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Chris@69: ***********************************************************************/ Chris@69: Chris@69: #ifdef HAVE_CONFIG_H Chris@69: #include "config.h" Chris@69: #endif Chris@69: Chris@69: #include "main_FLP.h" Chris@69: Chris@69: #define MAX_ITERATIONS_RESIDUAL_NRG 10 Chris@69: #define REGULARIZATION_FACTOR 1e-8f Chris@69: Chris@69: /* Residual energy: nrg = wxx - 2 * wXx * c + c' * wXX * c */ Chris@69: silk_float silk_residual_energy_covar_FLP( /* O Weighted residual energy */ Chris@69: const silk_float *c, /* I Filter coefficients */ Chris@69: silk_float *wXX, /* I/O Weighted correlation matrix, reg. out */ Chris@69: const silk_float *wXx, /* I Weighted correlation vector */ Chris@69: const silk_float wxx, /* I Weighted correlation value */ Chris@69: const opus_int D /* I Dimension */ Chris@69: ) Chris@69: { Chris@69: opus_int i, j, k; Chris@69: silk_float tmp, nrg = 0.0f, regularization; Chris@69: Chris@69: /* Safety checks */ Chris@69: celt_assert( D >= 0 ); Chris@69: Chris@69: regularization = REGULARIZATION_FACTOR * ( wXX[ 0 ] + wXX[ D * D - 1 ] ); Chris@69: for( k = 0; k < MAX_ITERATIONS_RESIDUAL_NRG; k++ ) { Chris@69: nrg = wxx; Chris@69: Chris@69: tmp = 0.0f; Chris@69: for( i = 0; i < D; i++ ) { Chris@69: tmp += wXx[ i ] * c[ i ]; Chris@69: } Chris@69: nrg -= 2.0f * tmp; Chris@69: Chris@69: /* compute c' * wXX * c, assuming wXX is symmetric */ Chris@69: for( i = 0; i < D; i++ ) { Chris@69: tmp = 0.0f; Chris@69: for( j = i + 1; j < D; j++ ) { Chris@69: tmp += matrix_c_ptr( wXX, i, j, D ) * c[ j ]; Chris@69: } Chris@69: nrg += c[ i ] * ( 2.0f * tmp + matrix_c_ptr( wXX, i, i, D ) * c[ i ] ); Chris@69: } Chris@69: if( nrg > 0 ) { Chris@69: break; Chris@69: } else { Chris@69: /* Add white noise */ Chris@69: for( i = 0; i < D; i++ ) { Chris@69: matrix_c_ptr( wXX, i, i, D ) += regularization; Chris@69: } Chris@69: /* Increase noise for next run */ Chris@69: regularization *= 2.0f; Chris@69: } Chris@69: } Chris@69: if( k == MAX_ITERATIONS_RESIDUAL_NRG ) { Chris@69: silk_assert( nrg == 0 ); Chris@69: nrg = 1.0f; Chris@69: } Chris@69: Chris@69: return nrg; Chris@69: } Chris@69: Chris@69: /* Calculates residual energies of input subframes where all subframes have LPC_order */ Chris@69: /* of preceding samples */ Chris@69: void silk_residual_energy_FLP( Chris@69: silk_float nrgs[ MAX_NB_SUBFR ], /* O Residual energy per subframe */ Chris@69: const silk_float x[], /* I Input signal */ Chris@69: silk_float a[ 2 ][ MAX_LPC_ORDER ], /* I AR coefs for each frame half */ Chris@69: const silk_float gains[], /* I Quantization gains */ Chris@69: const opus_int subfr_length, /* I Subframe length */ Chris@69: const opus_int nb_subfr, /* I number of subframes */ Chris@69: const opus_int LPC_order /* I LPC order */ Chris@69: ) Chris@69: { Chris@69: opus_int shift; Chris@69: silk_float *LPC_res_ptr, LPC_res[ ( MAX_FRAME_LENGTH + MAX_NB_SUBFR * MAX_LPC_ORDER ) / 2 ]; Chris@69: Chris@69: LPC_res_ptr = LPC_res + LPC_order; Chris@69: shift = LPC_order + subfr_length; Chris@69: Chris@69: /* Filter input to create the LPC residual for each frame half, and measure subframe energies */ Chris@69: silk_LPC_analysis_filter_FLP( LPC_res, a[ 0 ], x + 0 * shift, 2 * shift, LPC_order ); Chris@69: nrgs[ 0 ] = ( silk_float )( gains[ 0 ] * gains[ 0 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, subfr_length ) ); Chris@69: nrgs[ 1 ] = ( silk_float )( gains[ 1 ] * gains[ 1 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, subfr_length ) ); Chris@69: Chris@69: if( nb_subfr == MAX_NB_SUBFR ) { Chris@69: silk_LPC_analysis_filter_FLP( LPC_res, a[ 1 ], x + 2 * shift, 2 * shift, LPC_order ); Chris@69: nrgs[ 2 ] = ( silk_float )( gains[ 2 ] * gains[ 2 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, subfr_length ) ); Chris@69: nrgs[ 3 ] = ( silk_float )( gains[ 3 ] * gains[ 3 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, subfr_length ) ); Chris@69: } Chris@69: }