/src/opus/silk/float/SigProc_FLP.h

Source
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#ifndef SILK_SIGPROC_FLP_H
#define SILK_SIGPROC_FLP_H

#include "SigProc_FIX.h"
#include "float_cast.h"
#include "main.h"
#include <math.h>


/********************************************************************/
/*                    SIGNAL PROCESSING FUNCTIONS                   */
/********************************************************************/

/* Chirp (bw expand) LP AR filter */
void silk_bwexpander_FLP(
    silk_float          *ar,                /* I/O  AR filter to be expanded (without leading 1)                */
    const opus_int      d,                  /* I    length of ar                                                */
    const silk_float    chirp               /* I    chirp factor (typically in range (0..1) )                   */
);

/* compute inverse of LPC prediction gain, and                          */
/* test if LPC coefficients are stable (all poles within unit circle)   */
/* this code is based on silk_FLP_a2k()                                 */
silk_float silk_LPC_inverse_pred_gain_FLP(  /* O    return inverse prediction gain, energy domain               */
    const silk_float    *A,                 /* I    prediction coefficients [order]                             */
    opus_int32          order               /* I    prediction order                                            */
);

silk_float silk_schur_FLP(                  /* O    returns residual energy                                     */
    silk_float          refl_coef[],        /* O    reflection coefficients (length order)                      */
    const silk_float    auto_corr[],        /* I    autocorrelation sequence (length order+1)                   */
    opus_int            order               /* I    order                                                       */
);

void silk_k2a_FLP(
    silk_float          *A,                 /* O     prediction coefficients [order]                            */
    const silk_float    *rc,                /* I     reflection coefficients [order]                            */
    opus_int32          order               /* I     prediction order                                           */
);

/* compute autocorrelation */
void silk_autocorrelation_FLP(
    silk_float          *results,           /* O    result (length correlationCount)                            */
    const silk_float    *inputData,         /* I    input data to correlate                                     */
    opus_int            inputDataSize,      /* I    length of input                                             */
    opus_int            correlationCount,    /* I    number of correlation taps to compute                       */
    int                 arch
);

opus_int silk_pitch_analysis_core_FLP(      /* O    Voicing estimate: 0 voiced, 1 unvoiced                      */
    const silk_float    *frame,             /* I    Signal of length PE_FRAME_LENGTH_MS*Fs_kHz                  */
    opus_int            *pitch_out,         /* O    Pitch lag values [nb_subfr]                                 */
    opus_int16          *lagIndex,          /* O    Lag Index                                                   */
    opus_int8           *contourIndex,      /* O    Pitch contour Index                                         */
    silk_float          *LTPCorr,           /* I/O  Normalized correlation; input: value from previous frame    */
    opus_int            prevLag,            /* I    Last lag of previous frame; set to zero is unvoiced         */
    const silk_float    search_thres1,      /* I    First stage threshold for lag candidates 0 - 1              */
    const silk_float    search_thres2,      /* I    Final threshold for lag candidates 0 - 1                    */
    const opus_int      Fs_kHz,             /* I    sample frequency (kHz)                                      */
    const opus_int      complexity,         /* I    Complexity setting, 0-2, where 2 is highest                 */
    const opus_int      nb_subfr,           /* I    Number of 5 ms subframes                                    */
    int                 arch                /* I    Run-time architecture                                       */
);

void silk_insertion_sort_decreasing_FLP(
    silk_float          *a,                 /* I/O  Unsorted / Sorted vector                                    */
    opus_int            *idx,               /* O    Index vector for the sorted elements                        */
    const opus_int      L,                  /* I    Vector length                                               */
    const opus_int      K                   /* I    Number of correctly sorted positions                        */
);

/* Compute reflection coefficients from input signal */
silk_float silk_burg_modified_FLP(          /* O    returns residual energy                                     */
    silk_float          A[],                /* O    prediction coefficients (length order)                      */
    const silk_float    x[],                /* I    input signal, length: nb_subfr*(D+L_sub)                    */
    const silk_float    minInvGain,         /* I    minimum inverse prediction gain                             */
    const opus_int      subfr_length,       /* I    input signal subframe length (incl. D preceding samples)    */
    const opus_int      nb_subfr,           /* I    number of subframes stacked in x                            */
    const opus_int      D,                  /* I    order                                                       */
    int                 arch
);

/* multiply a vector by a constant */
void silk_scale_vector_FLP(
    silk_float          *data1,
    silk_float          gain,
    opus_int            dataSize
);

/* copy and multiply a vector by a constant */
void silk_scale_copy_vector_FLP(
    silk_float          *data_out,
    const silk_float    *data_in,
    silk_float          gain,
    opus_int            dataSize
);

/* inner product of two silk_float arrays, with result as double */
double silk_inner_product_FLP_c(
    const silk_float    *data1,
    const silk_float    *data2,
    opus_int            dataSize
);

#ifndef OVERRIDE_inner_product_FLP
#define silk_inner_product_FLP(data1, data2, dataSize, arch) ((void)arch,silk_inner_product_FLP_c(data1, data2, dataSize))
#endif


/* sum of squares of a silk_float array, with result as double */
double silk_energy_FLP(
    const silk_float    *data,
    opus_int            dataSize
);

/********************************************************************/
/*                                MACROS                            */
/********************************************************************/

#define PI              (3.1415926536f)

#define silk_min_float( a, b )                  (((a) < (b)) ? (a) :  (b))
#define silk_max_float( a, b )                  (((a) > (b)) ? (a) :  (b))
#define silk_abs_float( a )                     ((silk_float)fabs(a))

/* sigmoid function */
static OPUS_INLINE silk_float silk_sigmoid( silk_float x )
{
    return (silk_float)(1.0 / (1.0 + exp(-x)));
}

/* floating-point to integer conversion (rounding) */
static OPUS_INLINE opus_int32 silk_float2int( silk_float x )
{
    return (opus_int32)float2int( x );
}

/* floating-point to integer conversion (rounding) */
static OPUS_INLINE void silk_float2short_array(
    opus_int16       *out,
    const silk_float *in,
    opus_int32       length
)
{
    opus_int32 k;
    for( k = length - 1; k >= 0; k-- ) {
        out[k] = silk_SAT16( (opus_int32)float2int( in[k] ) );
    }
}

/* integer to floating-point conversion */
static OPUS_INLINE void silk_short2float_array(
    silk_float       *out,
    const opus_int16 *in,
    opus_int32       length
)
{
    opus_int32 k;
    for( k = length - 1; k >= 0; k-- ) {
        out[k] = (silk_float)in[k];
    }
}

/* using log2() helps the fixed-point conversion */
static OPUS_INLINE silk_float silk_log2( double x )
{
    return ( silk_float )( 3.32192809488736 * log10( x ) );
}

#endif /* SILK_SIGPROC_FLP_H */

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Created: 2026-06-07 08:05