ref: 2c7eb787f0ff0632ff81254066b53572860f02f9
dir: /silk/float/SigProc_FLP.h/
/***********************************************************************
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#ifndef SILK_SIGPROC_FLP_H
#define SILK_SIGPROC_FLP_H
#include "SigProc_FIX.h"
#include "float_cast.h"
#include <math.h>
#ifdef __cplusplus
extern "C"
{
#endif
/********************************************************************/
/* 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 */
);
/* Solve the normal equations using the Levinson-Durbin recursion */
silk_float silk_levinsondurbin_FLP( /* O prediction error energy */
silk_float A[], /* O prediction coefficients [order] */
const silk_float corr[], /* I input auto-correlations [order + 1] */
const opus_int 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 */
);
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 */
);
/* 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(
const silk_float *data1,
const silk_float *data2,
opus_int dataSize
);
/* 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 ) );
}
#ifdef __cplusplus
}
#endif
#endif /* SILK_SIGPROC_FLP_H */