diff options
Diffstat (limited to 'silk/float/SigProc_FLP.h')
| -rw-r--r-- | silk/float/SigProc_FLP.h | 154 |
1 files changed, 76 insertions, 78 deletions
diff --git a/silk/float/SigProc_FLP.h b/silk/float/SigProc_FLP.h index b11c396d..bf1d8ee5 100644 --- a/silk/float/SigProc_FLP.h +++ b/silk/float/SigProc_FLP.h @@ -42,132 +42,127 @@ extern "C" /* Chirp (bw expand) LP AR filter */ void silk_bwexpander_FLP( - silk_float *ar, /* io 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) ) */ + 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() */ -opus_int silk_LPC_inverse_pred_gain_FLP( /* O: returns 1 if unstable, otherwise 0 */ - silk_float *invGain, /* O: inverse prediction gain, energy domain */ - const silk_float *A, /* I: prediction coefficients [order] */ - opus_int32 order /* I: prediction order */ +/* 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() */ +opus_int silk_LPC_inverse_pred_gain_FLP( /* O returns 1 if unstable, otherwise 0 */ + silk_float *invGain, /* O 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 */ +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 */ + 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 */ +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 */ + 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 */ ); -/* Pitch estimator */ -#define SigProc_PE_MIN_COMPLEX 0 -#define SigProc_PE_MID_COMPLEX 1 -#define SigProc_PE_MAX_COMPLEX 2 - -opus_int silk_pitch_analysis_core_FLP( /* O voicing estimate: 0 voiced, 1 unvoiced */ - const silk_float *signal, /* I signal of length PE_FRAME_LENGTH_MS*Fs_kHz */ - opus_int *pitch_out, /* O 4 pitch lag values */ - 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 */ +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 */ ); -#define PI (3.1415926536f) - 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 */ + 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 opus_int subfr_length, /* I input signal subframe length (including D preceeding samples) */ - const opus_int nb_subfr, /* I number of subframes stacked in x */ - const silk_float WhiteNoiseFrac, /* I fraction added to zero-lag autocorrelation */ - const opus_int D /* I order */ +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 opus_int subfr_length, /* I input signal subframe length (incl. D preceeding samples) */ + const opus_int nb_subfr, /* I number of subframes stacked in x */ + const silk_float WhiteNoiseFrac, /* I fraction added to zero-lag autocorrelation */ + 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 + 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 + 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 + 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 + const silk_float *data, + opus_int dataSize ); /********************************************************************/ -/* MACROS */ +/* MACROS */ /********************************************************************/ -#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)) +#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)) -#define silk_LIMIT_float( a, limit1, limit2) ((limit1) > (limit2) ? ((a) > (limit1) ? (limit1) : ((a) < (limit2) ? (limit2) : (a))) \ - : ((a) > (limit2) ? (limit2) : ((a) < (limit1) ? (limit1) : (a)))) +#define silk_LIMIT_float( a, limit1, limit2 ) ((limit1) > (limit2) ? ((a) > (limit1) ? (limit1) : ((a) < (limit2) ? (limit2) : (a))) \ + : ((a) > (limit2) ? (limit2) : ((a) < (limit1) ? (limit1) : (a)))) /* sigmoid function */ -static inline silk_float silk_sigmoid(silk_float x) +static inline silk_float silk_sigmoid( silk_float x ) { return (silk_float)(1.0 / (1.0 + exp(-x))); } /* floating-point to integer conversion (rounding) */ -static inline opus_int32 silk_float2int(double x) +static inline opus_int32 silk_float2int( double x ) { #ifdef _WIN32 double t = x + 6755399441055744.0; @@ -185,7 +180,7 @@ static inline void silk_float2short_array( ) { opus_int32 k; - for (k = length-1; k >= 0; k--) { + for( k = length - 1; k >= 0; k-- ) { #ifdef _WIN32 double t = in[k] + 6755399441055744.0; out[k] = (opus_int16)silk_SAT16(*(( opus_int32 * )( &t ))); @@ -204,13 +199,16 @@ static inline void silk_short2float_array( ) { opus_int32 k; - for (k = length-1; k >= 0; k--) { + for( k = length - 1; k >= 0; k-- ) { out[k] = (silk_float)in[k]; } } /* using log2() helps the fixed-point conversion */ -static inline silk_float silk_log2( double x ) { return ( silk_float )( 3.32192809488736 * log10( x ) ); } +static inline silk_float silk_log2( double x ) +{ + return ( silk_float )( 3.32192809488736 * log10( x ) ); +} #ifdef __cplusplus } |