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26***********************************************************************/
27
28#ifdef HAVE_CONFIG_H
29#include "config.h"
30#endif
31
32/* conversion between prediction filter coefficients and LSFs   */
33/* order should be even                                         */
34/* a piecewise linear approximation maps LSF <-> cos(LSF)       */
35/* therefore the result is not accurate LSFs, but the two       */
36/* functions are accurate inverses of each other                */
37
38#include "SigProc_FIX.h"
39#include "tables.h"
40
41#define QA      16
42
43/* helper function for NLSF2A(..) */
44static OPUS_INLINE void silk_NLSF2A_find_poly(
45    opus_int32          *out,      /* O    intermediate polynomial, QA [dd+1]        */
46    const opus_int32    *cLSF,     /* I    vector of interleaved 2*cos(LSFs), QA [d] */
47    opus_int            dd         /* I    polynomial order (= 1/2 * filter order)   */
48)
49{
50    opus_int   k, n;
51    opus_int32 ftmp;
52
53    out[0] = silk_LSHIFT( 1, QA );
54    out[1] = -cLSF[0];
55    for( k = 1; k < dd; k++ ) {
56        ftmp = cLSF[2*k];            /* QA*/
57        out[k+1] = silk_LSHIFT( out[k-1], 1 ) - (opus_int32)silk_RSHIFT_ROUND64( silk_SMULL( ftmp, out[k] ), QA );
58        for( n = k; n > 1; n-- ) {
59            out[n] += out[n-2] - (opus_int32)silk_RSHIFT_ROUND64( silk_SMULL( ftmp, out[n-1] ), QA );
60        }
61        out[1] -= ftmp;
62    }
63}
64
65/* compute whitening filter coefficients from normalized line spectral frequencies */
66void silk_NLSF2A(
67    opus_int16                  *a_Q12,             /* O    monic whitening filter coefficients in Q12,  [ d ]          */
68    const opus_int16            *NLSF,              /* I    normalized line spectral frequencies in Q15, [ d ]          */
69    const opus_int              d,                  /* I    filter order (should be even)                               */
70    int                         arch                /* I    Run-time architecture                                       */
71)
72{
73    /* This ordering was found to maximize quality. It improves numerical accuracy of
74       silk_NLSF2A_find_poly() compared to "standard" ordering. */
75    static const unsigned char ordering16[16] = {
76      0, 15, 8, 7, 4, 11, 12, 3, 2, 13, 10, 5, 6, 9, 14, 1
77    };
78    static const unsigned char ordering10[10] = {
79      0, 9, 6, 3, 4, 5, 8, 1, 2, 7
80    };
81    const unsigned char *ordering;
82    opus_int   k, i, dd;
83    opus_int32 cos_LSF_QA[ SILK_MAX_ORDER_LPC ];
84    opus_int32 P[ SILK_MAX_ORDER_LPC / 2 + 1 ], Q[ SILK_MAX_ORDER_LPC / 2 + 1 ];
85    opus_int32 Ptmp, Qtmp, f_int, f_frac, cos_val, delta;
86    opus_int32 a32_QA1[ SILK_MAX_ORDER_LPC ];
87
88    silk_assert( LSF_COS_TAB_SZ_FIX == 128 );
89    silk_assert( d==10 || d==16 );
90
91    /* convert LSFs to 2*cos(LSF), using piecewise linear curve from table */
92    ordering = d == 16 ? ordering16 : ordering10;
93    for( k = 0; k < d; k++ ) {
94        silk_assert( NLSF[k] >= 0 );
95
96        /* f_int on a scale 0-127 (rounded down) */
97        f_int = silk_RSHIFT( NLSF[k], 15 - 7 );
98
99        /* f_frac, range: 0..255 */
100        f_frac = NLSF[k] - silk_LSHIFT( f_int, 15 - 7 );
101
102        silk_assert(f_int >= 0);
103        silk_assert(f_int < LSF_COS_TAB_SZ_FIX );
104
105        /* Read start and end value from table */
106        cos_val = silk_LSFCosTab_FIX_Q12[ f_int ];                /* Q12 */
107        delta   = silk_LSFCosTab_FIX_Q12[ f_int + 1 ] - cos_val;  /* Q12, with a range of 0..200 */
108
109        /* Linear interpolation */
110        cos_LSF_QA[ordering[k]] = silk_RSHIFT_ROUND( silk_LSHIFT( cos_val, 8 ) + silk_MUL( delta, f_frac ), 20 - QA ); /* QA */
111    }
112
113    dd = silk_RSHIFT( d, 1 );
114
115    /* generate even and odd polynomials using convolution */
116    silk_NLSF2A_find_poly( P, &cos_LSF_QA[ 0 ], dd );
117    silk_NLSF2A_find_poly( Q, &cos_LSF_QA[ 1 ], dd );
118
119    /* convert even and odd polynomials to opus_int32 Q12 filter coefs */
120    for( k = 0; k < dd; k++ ) {
121        Ptmp = P[ k+1 ] + P[ k ];
122        Qtmp = Q[ k+1 ] - Q[ k ];
123
124        /* the Ptmp and Qtmp values at this stage need to fit in int32 */
125        a32_QA1[ k ]     = -Qtmp - Ptmp;        /* QA+1 */
126        a32_QA1[ d-k-1 ] =  Qtmp - Ptmp;        /* QA+1 */
127    }
128
129    /* Convert int32 coefficients to Q12 int16 coefs */
130    silk_LPC_fit( a_Q12, a32_QA1, 12, QA + 1, d );
131
132    for( i = 0; silk_LPC_inverse_pred_gain( a_Q12, d, arch ) == 0 && i < MAX_LPC_STABILIZE_ITERATIONS; i++ ) {
133        /* Prediction coefficients are (too close to) unstable; apply bandwidth expansion   */
134        /* on the unscaled coefficients, convert to Q12 and measure again                   */
135        silk_bwexpander_32( a32_QA1, d, 65536 - silk_LSHIFT( 2, i ) );
136        for( k = 0; k < d; k++ ) {
137            a_Q12[ k ] = (opus_int16)silk_RSHIFT_ROUND( a32_QA1[ k ], QA + 1 - 12 );            /* QA+1 -> Q12 */
138        }
139    }
140}
141
142