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ref: 25f7f35555168f3426b9aad1efefab466f365af6
dir: /silk/silk_NLSF2A.c/

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#ifdef HAVE_CONFIG_H
#include "config.h"
#endif

/* conversion between prediction filter coefficients and LSFs   */
/* order should be even                                         */
/* a piecewise linear approximation maps LSF <-> cos(LSF)       */
/* therefore the result is not accurate LSFs, but the two       */
/* functions are accurate inverses of each other                */

#include "silk_SigProc_FIX.h"
#include "silk_tables.h"

#define QA      16

/* helper function for NLSF2A(..) */
static inline void silk_NLSF2A_find_poly(
    opus_int32          *out,      /* O    intermediate polynomial, QA [dd+1]        */
    const opus_int32    *cLSF,     /* I    vector of interleaved 2*cos(LSFs), QA [d] */
    opus_int            dd         /* I    polynomial order (= 1/2 * filter order)   */
)
{
    opus_int   k, n;
    opus_int32 ftmp;

    out[0] = SKP_LSHIFT( 1, QA );
    out[1] = -cLSF[0];
    for( k = 1; k < dd; k++ ) {
        ftmp = cLSF[2*k];            /* QA*/
        out[k+1] = SKP_LSHIFT( out[k-1], 1 ) - (opus_int32)SKP_RSHIFT_ROUND64( SKP_SMULL( ftmp, out[k] ), QA );
        for( n = k; n > 1; n-- ) {
            out[n] += out[n-2] - (opus_int32)SKP_RSHIFT_ROUND64( SKP_SMULL( ftmp, out[n-1] ), QA );
        }
        out[1] -= ftmp;
    }
}

/* compute whitening filter coefficients from normalized line spectral frequencies */
void silk_NLSF2A(
    opus_int16        *a_Q12,            /* O    monic whitening filter coefficients in Q12,  [ d ]  */
    const opus_int16  *NLSF,             /* I    normalized line spectral frequencies in Q15, [ d ]  */
    const opus_int    d                  /* I    filter order (should be even)                       */
)
{
    opus_int   k, i, dd;
    opus_int32 cos_LSF_QA[ SILK_MAX_ORDER_LPC ];
    opus_int32 P[ SILK_MAX_ORDER_LPC / 2 + 1 ], Q[ SILK_MAX_ORDER_LPC / 2 + 1 ];
    opus_int32 Ptmp, Qtmp, f_int, f_frac, cos_val, delta;
    opus_int32 a32_QA1[ SILK_MAX_ORDER_LPC ];
    opus_int32 maxabs, absval, idx=0, sc_Q16, invGain_Q30;

    SKP_assert( LSF_COS_TAB_SZ_FIX == 128 );

    /* convert LSFs to 2*cos(LSF), using piecewise linear curve from table */
    for( k = 0; k < d; k++ ) {
        SKP_assert(NLSF[k] >= 0 );
        SKP_assert(NLSF[k] <= 32767 );

        /* f_int on a scale 0-127 (rounded down) */
        f_int = SKP_RSHIFT( NLSF[k], 15 - 7 );

        /* f_frac, range: 0..255 */
        f_frac = NLSF[k] - SKP_LSHIFT( f_int, 15 - 7 );

        SKP_assert(f_int >= 0);
        SKP_assert(f_int < LSF_COS_TAB_SZ_FIX );

        /* Read start and end value from table */
        cos_val = silk_LSFCosTab_FIX_Q12[ f_int ];                /* Q12 */
        delta   = silk_LSFCosTab_FIX_Q12[ f_int + 1 ] - cos_val;  /* Q12, with a range of 0..200 */

        /* Linear interpolation */
        cos_LSF_QA[k] = SKP_RSHIFT_ROUND( SKP_LSHIFT( cos_val, 8 ) + SKP_MUL( delta, f_frac ), 20 - QA ); /* QA */
    }

    dd = SKP_RSHIFT( d, 1 );

    /* generate even and odd polynomials using convolution */
    silk_NLSF2A_find_poly( P, &cos_LSF_QA[ 0 ], dd );
    silk_NLSF2A_find_poly( Q, &cos_LSF_QA[ 1 ], dd );

    /* convert even and odd polynomials to opus_int32 Q12 filter coefs */
    for( k = 0; k < dd; k++ ) {
        Ptmp = P[ k+1 ] + P[ k ];
        Qtmp = Q[ k+1 ] - Q[ k ];

        /* the Ptmp and Qtmp values at this stage need to fit in int32 */
        a32_QA1[ k ]     = -Qtmp - Ptmp;        /* QA+1 */
        a32_QA1[ d-k-1 ] =  Qtmp - Ptmp;        /* QA+1 */
    }

    /* Limit the maximum absolute value of the prediction coefficients, so that they'll fit in int16 */
    for( i = 0; i < 10; i++ ) {
        /* Find maximum absolute value and its index */
        maxabs = 0;
        for( k = 0; k < d; k++ ) {
            absval = SKP_abs( a32_QA1[k] );
            if( absval > maxabs ) {
                maxabs = absval;
                idx    = k;
            }
        }
        maxabs = SKP_RSHIFT_ROUND( maxabs, QA + 1 - 12 );       /* QA+1 -> Q12 */

        if( maxabs > SKP_int16_MAX ) {
            /* Reduce magnitude of prediction coefficients */
            maxabs = SKP_min( maxabs, 163838 );  /* ( SKP_int32_MAX >> 14 ) + SKP_int16_MAX = 163838 */
            sc_Q16 = SILK_FIX_CONST( 0.999, 16 ) - SKP_DIV32( SKP_LSHIFT( maxabs - SKP_int16_MAX, 14 ),
                                        SKP_RSHIFT32( SKP_MUL( maxabs, idx + 1), 2 ) );
            silk_bwexpander_32( a32_QA1, d, sc_Q16 );
        } else {
            break;
        }
    }

    if( i == 10 ) {
        /* Reached the last iteration, clip the coefficients */
        for( k = 0; k < d; k++ ) {
            a_Q12[ k ] = (opus_int16)SKP_SAT16( SKP_RSHIFT_ROUND( a32_QA1[ k ], QA + 1 - 12 ) ); /* QA+1 -> Q12 */
            a32_QA1[ k ] = SKP_LSHIFT( (opus_int32)a_Q12[ k ], QA + 1 - 12 );
        }
    } else {
        for( k = 0; k < d; k++ ) {
            a_Q12[ k ] = (opus_int16)SKP_RSHIFT_ROUND( a32_QA1[ k ], QA + 1 - 12 );       /* QA+1 -> Q12 */
        }
    }

    for( i = 1; i < MAX_LPC_STABILIZE_ITERATIONS; i++ ) {
        if( silk_LPC_inverse_pred_gain( &invGain_Q30, a_Q12, d ) == 1 ) {
            /* Prediction coefficients are (too close to) unstable; apply bandwidth expansion   */
            /* on the unscaled coefficients, convert to Q12 and measure again                   */
            silk_bwexpander_32( a32_QA1, d, 65536 - SKP_SMULBB( 9 + i, i ) );            /* 10_Q16 = 0.00015 */
            for( k = 0; k < d; k++ ) {
                a_Q12[ k ] = (opus_int16)SKP_RSHIFT_ROUND( a32_QA1[ k ], QA + 1 - 12 );  /* QA+1 -> Q12 */
            }
        } else {
            break;
        }
    }

    if( i == MAX_LPC_STABILIZE_ITERATIONS ) {
        /* Reached the last iteration, set coefficients to zero */
        for( k = 0; k < d; k++ ) {
            a_Q12[ k ] = 0;
        }
    }
}