ref: fcf95bac9330e8e6db1184496ae33007a7c7a9cf
dir: /src_SigProc_FLP/SKP_Silk_SigProc_FLP.h/
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#ifndef _SKP_SILK_SIGPROC_FLP_H_
#define _SKP_SILK_SIGPROC_FLP_H_
#include "SKP_Silk_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 SKP_Silk_bwexpander_FLP(
SKP_float *ar, /* io AR filter to be expanded (without leading 1) */
const SKP_int d, /* i length of ar */
const SKP_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 SKP_Silk_FLP_a2k() */
SKP_int SKP_Silk_LPC_inverse_pred_gain_FLP( /* O: returns 1 if unstable, otherwise 0 */
SKP_float *invGain, /* O: inverse prediction gain, energy domain */
const SKP_float *A, /* I: prediction coefficients [order] */
SKP_int32 order /* I: prediction order */
);
SKP_float SKP_Silk_schur_FLP( /* O returns residual energy */
SKP_float refl_coef[], /* O reflection coefficients (length order) */
const SKP_float auto_corr[], /* I autocorrelation sequence (length order+1) */
SKP_int order /* I order */
);
void SKP_Silk_k2a_FLP(
SKP_float *A, /* O: prediction coefficients [order] */
const SKP_float *rc, /* I: reflection coefficients [order] */
SKP_int32 order /* I: prediction order */
);
/* Solve the normal equations using the Levinson-Durbin recursion */
SKP_float SKP_Silk_levinsondurbin_FLP( /* O prediction error energy */
SKP_float A[], /* O prediction coefficients [order] */
const SKP_float corr[], /* I input auto-correlations [order + 1] */
const SKP_int order /* I prediction order */
);
/* compute autocorrelation */
void SKP_Silk_autocorrelation_FLP(
SKP_float *results, /* o result (length correlationCount) */
const SKP_float *inputData, /* i input data to correlate */
SKP_int inputDataSize, /* i length of input */
SKP_int correlationCount /* i number of correlation taps to compute */
);
/* Pitch estimator */
#define SigProc_PE_MIN_COMPLEX 0
#define SigProc_PE_MID_COMPLEX 1
#define SigProc_PE_MAX_COMPLEX 2
SKP_int SKP_Silk_pitch_analysis_core_FLP( /* O voicing estimate: 0 voiced, 1 unvoiced */
const SKP_float *signal, /* I signal of length PE_FRAME_LENGTH_MS*Fs_kHz */
SKP_int *pitch_out, /* O 4 pitch lag values */
SKP_int16 *lagIndex, /* O lag Index */
SKP_int8 *contourIndex, /* O pitch contour Index */
SKP_float *LTPCorr, /* I/O normalized correlation; input: value from previous frame */
SKP_int prevLag, /* I last lag of previous frame; set to zero is unvoiced */
const SKP_float search_thres1, /* I first stage threshold for lag candidates 0 - 1 */
const SKP_float search_thres2, /* I final threshold for lag candidates 0 - 1 */
const SKP_int Fs_kHz, /* I sample frequency (kHz) */
const SKP_int complexity, /* I Complexity setting, 0-2, where 2 is highest */
const SKP_int nb_subfr /* I number of 5 ms subframes */
);
#define PI (3.1415926536f)
void SKP_Silk_insertion_sort_decreasing_FLP(
SKP_float *a, /* I/O: Unsorted / Sorted vector */
SKP_int *index, /* O: Index vector for the sorted elements */
const SKP_int L, /* I: Vector length */
const SKP_int K /* I: Number of correctly sorted positions */
);
/* Compute reflection coefficients from input signal */
SKP_float SKP_Silk_burg_modified_FLP( /* O returns residual energy */
SKP_float A[], /* O prediction coefficients (length order) */
const SKP_float x[], /* I input signal, length: nb_subfr*(D+L_sub) */
const SKP_int subfr_length, /* I input signal subframe length (including D preceeding samples) */
const SKP_int nb_subfr, /* I number of subframes stacked in x */
const SKP_float WhiteNoiseFrac, /* I fraction added to zero-lag autocorrelation */
const SKP_int D /* I order */
);
/* multiply a vector by a constant */
void SKP_Silk_scale_vector_FLP(
SKP_float *data1,
SKP_float gain,
SKP_int dataSize
);
/* copy and multiply a vector by a constant */
void SKP_Silk_scale_copy_vector_FLP(
SKP_float *data_out,
const SKP_float *data_in,
SKP_float gain,
SKP_int dataSize
);
/* inner product of two SKP_float arrays, with result as double */
double SKP_Silk_inner_product_FLP(
const SKP_float *data1,
const SKP_float *data2,
SKP_int dataSize
);
/* sum of squares of a SKP_float array, with result as double */
double SKP_Silk_energy_FLP(
const SKP_float *data,
SKP_int dataSize
);
/********************************************************************/
/* MACROS */
/********************************************************************/
#define SKP_min_float(a, b) (((a) < (b)) ? (a) : (b))
#define SKP_max_float(a, b) (((a) > (b)) ? (a) : (b))
#define SKP_abs_float(a) ((SKP_float)fabs(a))
#define SKP_LIMIT_float( a, limit1, limit2) ((limit1) > (limit2) ? ((a) > (limit1) ? (limit1) : ((a) < (limit2) ? (limit2) : (a))) \
: ((a) > (limit2) ? (limit2) : ((a) < (limit1) ? (limit1) : (a))))
/* sigmoid function */
SKP_INLINE SKP_float SKP_sigmoid(SKP_float x)
{
return (SKP_float)(1.0 / (1.0 + exp(-x)));
}
/* floating-point to integer conversion (rounding) */
#if 1
/* use implementation in float_cast.h */
#define SKP_float2int(x) float2int(x)
#else
SKP_INLINE SKP_int32 SKP_float2int(SKP_float x)
{
double y = x;
return (SKP_int32)( ( y > 0 ) ? y + 0.5 : y - 0.5 );
}
#endif
/* floating-point to integer conversion (rounding) */
SKP_INLINE void SKP_float2short_array(
SKP_int16 *out,
const SKP_float *in,
SKP_int32 length
)
{
SKP_int32 k;
for (k = length-1; k >= 0; k--) {
out[k] = (SKP_int16)SKP_SAT16( float2int( in[k] ) );
}
}
/* integer to floating-point conversion */
SKP_INLINE void SKP_short2float_array(
SKP_float *out,
const SKP_int16 *in,
SKP_int32 length
)
{
SKP_int32 k;
for (k = length-1; k >= 0; k--) {
out[k] = (SKP_float)in[k];
}
}
#define SKP_round(x) (SKP_float)((x)>=0 ? (SKP_int64)((x)+0.5) : (SKP_int64)((x)-0.5))
#ifdef __cplusplus
}
#endif
#endif