FFmpeg coverage

Directory: ../../../ffmpeg/
File: src/libavcodec/lpc.c
Date: 2023-12-07 21:54:23
Exec Total Coverage
Lines: 139 154 90.3%
Functions: 8 9 88.9%
Branches: 76 90 84.4%
Line Branch Exec Source
1 /*
2 * LPC utility code
3 * Copyright (c) 2006 Justin Ruggles <justin.ruggles@gmail.com>
4 *
5 * This file is part of FFmpeg.
6 *
7 * FFmpeg is free software; you can redistribute it and/or
8 * modify it under the terms of the GNU Lesser General Public
9 * License as published by the Free Software Foundation; either
10 * version 2.1 of the License, or (at your option) any later version.
11 *
12 * FFmpeg is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
15 * Lesser General Public License for more details.
16 *
17 * You should have received a copy of the GNU Lesser General Public
18 * License along with FFmpeg; if not, write to the Free Software
19 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
20 */
21
22 #include "libavutil/common.h"
23 #include "libavutil/lls.h"
24 #include "libavutil/mem_internal.h"
25
26 #define LPC_USE_DOUBLE
27 #include "lpc.h"
28 #include "libavutil/avassert.h"
29
30
31 /**
32 * Apply Welch window function to audio block
33 */
34 3999 static void lpc_apply_welch_window_c(const int32_t *data, ptrdiff_t len,
35 double *w_data)
36 {
37 int i, n2;
38 double w;
39 double c;
40
41
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 3999 if (len == 1) {
42 ✗ w_data[0] = 0.0;
43 ✗ return;
44 }
45
46 3999 n2 = (len >> 1);
47 3999 c = 2.0 / (len - 1.0);
48
49
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 3999 if (len & 1) {
50
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 9545 for(i=0; i<n2; i++) {
51 9538 w = c - i - 1.0;
52 9538 w = 1.0 - (w * w);
53 9538 w_data[i] = data[i] * w;
54 9538 w_data[len-1-i] = data[len-1-i] * w;
55 }
56 7 w_data[n2] = 0.0;
57 7 return;
58 }
59
60 3992 w_data+=n2;
61 3992 data+=n2;
62
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 9309608 for(i=0; i<n2; i++) {
63 9305616 w = c - n2 + i;
64 9305616 w = 1.0 - (w * w);
65 9305616 w_data[-i-1] = data[-i-1] * w;
66 9305616 w_data[+i ] = data[+i ] * w;
67 }
68 }
69
70 /**
71 * Calculate autocorrelation data from audio samples
72 * A Welch window function is applied before calculation.
73 */
74 6140 static void lpc_compute_autocorr_c(const double *data, ptrdiff_t len, int lag,
75 double *autoc)
76 {
77 int i, j;
78
79
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 46615 for(j=0; j<lag; j+=2){
80 40475 double sum0 = 1.0, sum1 = 1.0;
81
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 135761133 for(i=j; i<len; i++){
82 135720658 sum0 += data[i] * data[i-j];
83 135720658 sum1 += data[i] * data[i-j-1];
84 }
85 40475 autoc[j ] = sum0;
86 40475 autoc[j+1] = sum1;
87 }
88
89
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 6140 if(j==lag){
90 5844 double sum = 1.0;
91
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 9858663 for(i=j-1; i<len; i+=2){
92 9852819 sum += data[i ] * data[i-j ]
93 9852819 + data[i+1] * data[i-j+1];
94 }
95 5844 autoc[j] = sum;
96 }
97 6140 }
98
99 /**
100 * Quantize LPC coefficients
101 */
102 11789 static void quantize_lpc_coefs(double *lpc_in, int order, int precision,
103 int32_t *lpc_out, int *shift, int min_shift,
104 int max_shift, int zero_shift)
105 {
106 int i;
107 double cmax, error;
108 int32_t qmax;
109 int sh;
110
111 /* define maximum levels */
112 11789 qmax = (1 << (precision - 1)) - 1;
113
114 /* find maximum coefficient value */
115 11789 cmax = 0.0;
116
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 69834 for(i=0; i<order; i++) {
117
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 58045 cmax= FFMAX(cmax, fabs(lpc_in[i]));
118 }
119
120 /* if maximum value quantizes to zero, return all zeros */
121
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 11789 if(cmax * (1 << max_shift) < 1.0) {
122 ✗ *shift = zero_shift;
123 ✗ memset(lpc_out, 0, sizeof(int32_t) * order);
124 ✗ return;
125 }
126
127 /* calculate level shift which scales max coeff to available bits */
128 11789 sh = max_shift;
129
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 32320 while((cmax * (1 << sh) > qmax) && (sh > min_shift)) {
130 20531 sh--;
131 }
132
133 /* since negative shift values are unsupported in decoder, scale down
134 coefficients instead */
135
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 11789 if(sh == 0 && cmax > qmax) {
136 ✗ double scale = ((double)qmax) / cmax;
137 ✗ for(i=0; i<order; i++) {
138 ✗ lpc_in[i] *= scale;
139 }
140 }
141
142 /* output quantized coefficients and level shift */
143 11789 error=0;
144
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 69834 for(i=0; i<order; i++) {
145 58045 error -= lpc_in[i] * (1 << sh);
146 58045 lpc_out[i] = av_clip(lrintf(error), -qmax, qmax);
147 58045 error -= lpc_out[i];
148 }
149 11789 *shift = sh;
150 }
151
152 8957 static int estimate_best_order(double *ref, int min_order, int max_order)
153 {
154 int i, est;
155
156 8957 est = min_order;
157
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 64632 for(i=max_order-1; i>=min_order-1; i--) {
158
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 64458 if(ref[i] > 0.10) {
159 8783 est = i+1;
160 8783 break;
161 }
162 }
163 8957 return est;
164 }
165
166 ✗ int ff_lpc_calc_ref_coefs(LPCContext *s,
167 const int32_t *samples, int order, double *ref)
168 {
169 double autoc[MAX_LPC_ORDER + 1];
170
171 ✗ s->lpc_apply_welch_window(samples, s->blocksize, s->windowed_samples);
172 ✗ s->lpc_compute_autocorr(s->windowed_samples, s->blocksize, order, autoc);
173 ✗ compute_ref_coefs(autoc, order, ref, NULL);
174
175 ✗ return order;
176 }
177
178 2147 double ff_lpc_calc_ref_coefs_f(LPCContext *s, const float *samples, int len,
179 int order, double *ref)
180 {
181 int i;
182 2147 double signal = 0.0f, avg_err = 0.0f;
183 2147 double autoc[MAX_LPC_ORDER+1] = {0}, error[MAX_LPC_ORDER+1] = {0};
184 2147 const double a = 0.5f, b = 1.0f - a;
185
186 /* Apply windowing */
187
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 602762 for (i = 0; i <= len / 2; i++) {
188 600615 double weight = a - b*cos((2*M_PI*i)/(len - 1));
189 600615 s->windowed_samples[i] = weight*samples[i];
190 600615 s->windowed_samples[len-1-i] = weight*samples[len-1-i];
191 }
192
193 2147 s->lpc_compute_autocorr(s->windowed_samples, len, order, autoc);
194 2147 signal = autoc[0];
195 2147 compute_ref_coefs(autoc, order, ref, error);
196
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 26431 for (i = 0; i < order; i++)
197 24284 avg_err = (avg_err + error[i])/2.0f;
198
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 2147 return avg_err ? signal/avg_err : NAN;
199 }
200
201 /**
202 * Calculate LPC coefficients for multiple orders
203 *
204 * @param lpc_type LPC method for determining coefficients,
205 * see #FFLPCType for details
206 */
207 9193 int ff_lpc_calc_coefs(LPCContext *s,
208 const int32_t *samples, int blocksize, int min_order,
209 int max_order, int precision,
210 int32_t coefs[][MAX_LPC_ORDER], int *shift,
211 enum FFLPCType lpc_type, int lpc_passes,
212 int omethod, int min_shift, int max_shift, int zero_shift)
213 {
214 double autoc[MAX_LPC_ORDER+1];
215 9193 double ref[MAX_LPC_ORDER] = { 0 };
216 double lpc[MAX_LPC_ORDER][MAX_LPC_ORDER];
217 9193 int i, j, pass = 0;
218 int opt_order;
219
220 av_assert2(max_order >= MIN_LPC_ORDER && max_order <= MAX_LPC_ORDER &&
221 lpc_type > FF_LPC_TYPE_FIXED);
222
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 9193 av_assert0(lpc_type == FF_LPC_TYPE_CHOLESKY || lpc_type == FF_LPC_TYPE_LEVINSON);
223
224 /* reinit LPC context if parameters have changed */
225
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 9193 if (blocksize != s->blocksize || max_order != s->max_order ||
226
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 9178 lpc_type != s->lpc_type) {
227 16 ff_lpc_end(s);
228 16 ff_lpc_init(s, blocksize, max_order, lpc_type);
229 }
230
231
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 9193 if(lpc_passes <= 0)
232 2589 lpc_passes = 2;
233
234
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 9193 if (lpc_type == FF_LPC_TYPE_LEVINSON || (lpc_type == FF_LPC_TYPE_CHOLESKY && lpc_passes > 1)) {
235 9193 s->lpc_apply_welch_window(samples, blocksize, s->windowed_samples);
236
237 9193 s->lpc_compute_autocorr(s->windowed_samples, blocksize, max_order, autoc);
238
239 9193 compute_lpc_coefs(autoc, max_order, &lpc[0][0], MAX_LPC_ORDER, 0, 1);
240
241
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 107163 for(i=0; i<max_order; i++)
242 97970 ref[i] = fabs(lpc[i][i]);
243
244 9193 pass++;
245 }
246
247
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 9193 if (lpc_type == FF_LPC_TYPE_CHOLESKY) {
248 182 LLSModel *m = s->lls_models;
249 182 LOCAL_ALIGNED(32, double, var, [FFALIGN(MAX_LPC_ORDER+1,4)]);
250 182 double av_uninit(weight);
251 182 memset(var, 0, FFALIGN(MAX_LPC_ORDER+1,4)*sizeof(*var));
252
253
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 1638 for(j=0; j<max_order; j++)
254 1456 m[0].coeff[max_order-1][j] = -lpc[max_order-1][j];
255
256
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 364 for(; pass<lpc_passes; pass++){
257 182 avpriv_init_lls(&m[pass&1], max_order);
258
259 182 weight=0;
260
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 836626 for(i=max_order; i<blocksize; i++){
261
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 8364440 for(j=0; j<=max_order; j++)
262 7527996 var[j]= samples[i-j];
263
264
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 836444 if(pass){
265 double eval, inv, rinv;
266 836444 eval= m[pass&1].evaluate_lls(&m[(pass-1)&1], var+1, max_order-1);
267 836444 eval= (512>>pass) + fabs(eval - var[0]);
268 836444 inv = 1/eval;
269 836444 rinv = sqrt(inv);
270
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 8364440 for(j=0; j<=max_order; j++)
271 7527996 var[j] *= rinv;
272 836444 weight += inv;
273 }else
274 ✗ weight++;
275
276 836444 m[pass&1].update_lls(&m[pass&1], var);
277 }
278 182 avpriv_solve_lls(&m[pass&1], 0.001, 0);
279 }
280
281
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 1638 for(i=0; i<max_order; i++){
282
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 13104 for(j=0; j<max_order; j++)
283 11648 lpc[i][j]=-m[(pass-1)&1].coeff[i][j];
284 1456 ref[i]= sqrt(m[(pass-1)&1].variance[i] / weight) * (blocksize - max_order) / 4000;
285 }
286
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 1456 for(i=max_order-1; i>0; i--)
287 1274 ref[i] = ref[i-1] - ref[i];
288 }
289
290 9193 opt_order = max_order;
291
292
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 9193 if(omethod == ORDER_METHOD_EST) {
293 8957 opt_order = estimate_best_order(ref, min_order, max_order);
294 8957 i = opt_order-1;
295 8957 quantize_lpc_coefs(lpc[i], i+1, precision, coefs[i], &shift[i],
296 min_shift, max_shift, zero_shift);
297 } else {
298
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 3068 for(i=min_order-1; i<max_order; i++) {
299 2832 quantize_lpc_coefs(lpc[i], i+1, precision, coefs[i], &shift[i],
300 min_shift, max_shift, zero_shift);
301 }
302 }
303
304 9193 return opt_order;
305 }
306
307 83 av_cold int ff_lpc_init(LPCContext *s, int blocksize, int max_order,
308 enum FFLPCType lpc_type)
309 {
310 83 s->blocksize = blocksize;
311 83 s->max_order = max_order;
312 83 s->lpc_type = lpc_type;
313
314 83 s->windowed_buffer = av_mallocz((blocksize + 2 + FFALIGN(max_order, 4)) *
315 sizeof(*s->windowed_samples));
316
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 83 if (!s->windowed_buffer)
317 ✗ return AVERROR(ENOMEM);
318 83 s->windowed_samples = s->windowed_buffer + FFALIGN(max_order, 4);
319
320 83 s->lpc_apply_welch_window = lpc_apply_welch_window_c;
321 83 s->lpc_compute_autocorr = lpc_compute_autocorr_c;
322
323 #if ARCH_X86
324 83 ff_lpc_init_x86(s);
325 #endif
326
327 83 return 0;
328 }
329
330 83 av_cold void ff_lpc_end(LPCContext *s)
331 {
332 83 av_freep(&s->windowed_buffer);
333 83 }
334