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burg_modified_FLP.c (7955B)


      1 /***********************************************************************
      2 Copyright (c) 2006-2011, Skype Limited. All rights reserved.
      3 Redistribution and use in source and binary forms, with or without
      4 modification, are permitted provided that the following conditions
      5 are met:
      6 - Redistributions of source code must retain the above copyright notice,
      7 this list of conditions and the following disclaimer.
      8 - Redistributions in binary form must reproduce the above copyright
      9 notice, this list of conditions and the following disclaimer in the
     10 documentation and/or other materials provided with the distribution.
     11 - Neither the name of Internet Society, IETF or IETF Trust, nor the
     12 names of specific contributors, may be used to endorse or promote
     13 products derived from this software without specific prior written
     14 permission.
     15 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
     16 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
     17 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
     18 ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
     19 LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
     20 CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
     21 SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
     22 INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
     23 CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
     24 ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
     25 POSSIBILITY OF SUCH DAMAGE.
     26 ***********************************************************************/
     27 
     28 #ifdef HAVE_CONFIG_H
     29 #include "config.h"
     30 #endif
     31 
     32 #include "SigProc_FLP.h"
     33 #include "tuning_parameters.h"
     34 #include "define.h"
     35 
     36 #define MAX_FRAME_SIZE              384 /* subfr_length * nb_subfr = ( 0.005 * 16000 + 16 ) * 4 = 384*/
     37 
     38 /* Compute reflection coefficients from input signal */
     39 silk_float silk_burg_modified_FLP(          /* O    returns residual energy                                     */
     40    silk_float          A[],                /* O    prediction coefficients (length order)                      */
     41    const silk_float    x[],                /* I    input signal, length: nb_subfr*(D+L_sub)                    */
     42    const silk_float    minInvGain,         /* I    minimum inverse prediction gain                             */
     43    const opus_int      subfr_length,       /* I    input signal subframe length (incl. D preceding samples)    */
     44    const opus_int      nb_subfr,           /* I    number of subframes stacked in x                            */
     45    const opus_int      D,                  /* I    order                                                       */
     46    int                 arch
     47 )
     48 {
     49    opus_int         k, n, s, reached_max_gain;
     50    double           C0, invGain, num, nrg_f, nrg_b, rc, Atmp, tmp1, tmp2;
     51    const silk_float *x_ptr;
     52    double           C_first_row[ SILK_MAX_ORDER_LPC ], C_last_row[ SILK_MAX_ORDER_LPC ];
     53    double           CAf[ SILK_MAX_ORDER_LPC + 1 ], CAb[ SILK_MAX_ORDER_LPC + 1 ];
     54    double           Af[ SILK_MAX_ORDER_LPC ];
     55 
     56    celt_assert( subfr_length * nb_subfr <= MAX_FRAME_SIZE );
     57 
     58    /* Compute autocorrelations, added over subframes */
     59    C0 = silk_energy_FLP( x, nb_subfr * subfr_length );
     60    silk_memset( C_first_row, 0, SILK_MAX_ORDER_LPC * sizeof( double ) );
     61    for( s = 0; s < nb_subfr; s++ ) {
     62        x_ptr = x + s * subfr_length;
     63        for( n = 1; n < D + 1; n++ ) {
     64            C_first_row[ n - 1 ] += silk_inner_product_FLP( x_ptr, x_ptr + n, subfr_length - n, arch );
     65        }
     66    }
     67    silk_memcpy( C_last_row, C_first_row, SILK_MAX_ORDER_LPC * sizeof( double ) );
     68 
     69    /* Initialize */
     70    CAb[ 0 ] = CAf[ 0 ] = C0 + FIND_LPC_COND_FAC * C0 + 1e-9f;
     71    invGain = 1.0f;
     72    reached_max_gain = 0;
     73    for( n = 0; n < D; n++ ) {
     74        /* Update first row of correlation matrix (without first element) */
     75        /* Update last row of correlation matrix (without last element, stored in reversed order) */
     76        /* Update C * Af */
     77        /* Update C * flipud(Af) (stored in reversed order) */
     78        for( s = 0; s < nb_subfr; s++ ) {
     79            x_ptr = x + s * subfr_length;
     80            tmp1 = x_ptr[ n ];
     81            tmp2 = x_ptr[ subfr_length - n - 1 ];
     82            for( k = 0; k < n; k++ ) {
     83                C_first_row[ k ] -= x_ptr[ n ] * x_ptr[ n - k - 1 ];
     84                C_last_row[ k ]  -= x_ptr[ subfr_length - n - 1 ] * x_ptr[ subfr_length - n + k ];
     85                Atmp = Af[ k ];
     86                tmp1 += x_ptr[ n - k - 1 ] * Atmp;
     87                tmp2 += x_ptr[ subfr_length - n + k ] * Atmp;
     88            }
     89            for( k = 0; k <= n; k++ ) {
     90                CAf[ k ] -= tmp1 * x_ptr[ n - k ];
     91                CAb[ k ] -= tmp2 * x_ptr[ subfr_length - n + k - 1 ];
     92            }
     93        }
     94        tmp1 = C_first_row[ n ];
     95        tmp2 = C_last_row[ n ];
     96        for( k = 0; k < n; k++ ) {
     97            Atmp = Af[ k ];
     98            tmp1 += C_last_row[  n - k - 1 ] * Atmp;
     99            tmp2 += C_first_row[ n - k - 1 ] * Atmp;
    100        }
    101        CAf[ n + 1 ] = tmp1;
    102        CAb[ n + 1 ] = tmp2;
    103 
    104        /* Calculate nominator and denominator for the next order reflection (parcor) coefficient */
    105        num = CAb[ n + 1 ];
    106        nrg_b = CAb[ 0 ];
    107        nrg_f = CAf[ 0 ];
    108        for( k = 0; k < n; k++ ) {
    109            Atmp = Af[ k ];
    110            num   += CAb[ n - k ] * Atmp;
    111            nrg_b += CAb[ k + 1 ] * Atmp;
    112            nrg_f += CAf[ k + 1 ] * Atmp;
    113        }
    114        silk_assert( nrg_f > 0.0 );
    115        silk_assert( nrg_b > 0.0 );
    116 
    117        /* Calculate the next order reflection (parcor) coefficient */
    118        rc = -2.0 * num / ( nrg_f + nrg_b );
    119        silk_assert( rc > -1.0 && rc < 1.0 );
    120 
    121        /* Update inverse prediction gain */
    122        tmp1 = invGain * ( 1.0 - rc * rc );
    123        if( tmp1 <= minInvGain ) {
    124            /* Max prediction gain exceeded; set reflection coefficient such that max prediction gain is exactly hit */
    125            rc = sqrt( 1.0 - minInvGain / invGain );
    126            if( num > 0 ) {
    127                /* Ensure adjusted reflection coefficients has the original sign */
    128                rc = -rc;
    129            }
    130            invGain = minInvGain;
    131            reached_max_gain = 1;
    132        } else {
    133            invGain = tmp1;
    134        }
    135 
    136        /* Update the AR coefficients */
    137        for( k = 0; k < (n + 1) >> 1; k++ ) {
    138            tmp1 = Af[ k ];
    139            tmp2 = Af[ n - k - 1 ];
    140            Af[ k ]         = tmp1 + rc * tmp2;
    141            Af[ n - k - 1 ] = tmp2 + rc * tmp1;
    142        }
    143        Af[ n ] = rc;
    144 
    145        if( reached_max_gain ) {
    146            /* Reached max prediction gain; set remaining coefficients to zero and exit loop */
    147            for( k = n + 1; k < D; k++ ) {
    148                Af[ k ] = 0.0;
    149            }
    150            break;
    151        }
    152 
    153        /* Update C * Af and C * Ab */
    154        for( k = 0; k <= n + 1; k++ ) {
    155            tmp1 = CAf[ k ];
    156            CAf[ k ]          += rc * CAb[ n - k + 1 ];
    157            CAb[ n - k + 1  ] += rc * tmp1;
    158        }
    159    }
    160 
    161    if( reached_max_gain ) {
    162        /* Convert to silk_float */
    163        for( k = 0; k < D; k++ ) {
    164            A[ k ] = (silk_float)( -Af[ k ] );
    165        }
    166        /* Subtract energy of preceding samples from C0 */
    167        for( s = 0; s < nb_subfr; s++ ) {
    168            C0 -= silk_energy_FLP( x + s * subfr_length, D );
    169        }
    170        /* Approximate residual energy */
    171        nrg_f = C0 * invGain;
    172    } else {
    173        /* Compute residual energy and store coefficients as silk_float */
    174        nrg_f = CAf[ 0 ];
    175        tmp1 = 1.0;
    176        for( k = 0; k < D; k++ ) {
    177            Atmp = Af[ k ];
    178            nrg_f += CAf[ k + 1 ] * Atmp;
    179            tmp1  += Atmp * Atmp;
    180            A[ k ] = (silk_float)(-Atmp);
    181        }
    182        nrg_f -= FIND_LPC_COND_FAC * C0 * tmp1;
    183    }
    184 
    185    /* Return residual energy */
    186    return (silk_float)nrg_f;
    187 }