Skip to content

Latest commit

 

History

History
197 lines (171 loc) · 9.35 KB

SigProc_FLP.h

File metadata and controls

197 lines (171 loc) · 9.35 KB
 
1
2
3
4
5
6
7
8
9
10
/***********************************************************************
Copyright (c) 2006-2011, Skype Limited. All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
Oct 6, 2019
Oct 6, 2019
11
- Neither the name of Internet Society, IETF or IETF Trust, nor the
12
13
14
names of specific contributors, may be used to endorse or promote
products derived from this software without specific prior written
permission.
Oct 6, 2019
Oct 6, 2019
15
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
***********************************************************************/
#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 */
);
/* 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 */
Oct 6, 2019
Oct 6, 2019
90
91
const opus_int nb_subfr, /* I Number of 5 ms subframes */
int arch /* I Run-time architecture */
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
);
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 */
Oct 6, 2019
Oct 6, 2019
150
static OPUS_INLINE silk_float silk_sigmoid( silk_float x )
151
152
153
154
155
{
return (silk_float)(1.0 / (1.0 + exp(-x)));
}
/* floating-point to integer conversion (rounding) */
Oct 6, 2019
Oct 6, 2019
156
static OPUS_INLINE opus_int32 silk_float2int( silk_float x )
157
158
159
160
161
{
return (opus_int32)float2int( x );
}
/* floating-point to integer conversion (rounding) */
Oct 6, 2019
Oct 6, 2019
162
static OPUS_INLINE void silk_float2short_array(
163
164
165
166
167
168
169
170
171
172
173
174
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 */
Oct 6, 2019
Oct 6, 2019
175
static OPUS_INLINE void silk_short2float_array(
176
177
178
179
180
181
182
183
184
185
186
187
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 */
Oct 6, 2019
Oct 6, 2019
188
static OPUS_INLINE silk_float silk_log2( double x )
189
190
191
192
193
194
195
196
197
{
return ( silk_float )( 3.32192809488736 * log10( x ) );
}
#ifdef __cplusplus
}
#endif
#endif /* SILK_SIGPROC_FLP_H */