0
|
1 /*
|
|
2 * linear least squares model
|
|
3 *
|
|
4 * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
|
|
5 *
|
|
6 * This file is part of FFmpeg.
|
|
7 *
|
|
8 * FFmpeg is free software; you can redistribute it and/or
|
|
9 * modify it under the terms of the GNU Lesser General Public
|
|
10 * License as published by the Free Software Foundation; either
|
|
11 * version 2.1 of the License, or (at your option) any later version.
|
|
12 *
|
|
13 * FFmpeg is distributed in the hope that it will be useful,
|
|
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
|
16 * Lesser General Public License for more details.
|
|
17 *
|
|
18 * You should have received a copy of the GNU Lesser General Public
|
|
19 * License along with FFmpeg; if not, write to the Free Software
|
|
20 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
|
|
21 */
|
|
22
|
|
23 #ifndef AVUTIL_LLS_H
|
|
24 #define AVUTIL_LLS_H
|
|
25
|
|
26 #include "common.h"
|
|
27 #include "mem.h"
|
|
28 #include "version.h"
|
|
29
|
|
30 #define MAX_VARS 32
|
|
31 #define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
|
|
32
|
|
33 //FIXME avoid direct access to LLSModel from outside
|
|
34
|
|
35 /**
|
|
36 * Linear least squares model.
|
|
37 */
|
|
38 typedef struct LLSModel {
|
|
39 DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
|
|
40 DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
|
|
41 double variance[MAX_VARS];
|
|
42 int indep_count;
|
|
43 /**
|
|
44 * Take the outer-product of var[] with itself, and add to the covariance matrix.
|
|
45 * @param m this context
|
|
46 * @param var training samples, starting with the value to be predicted
|
|
47 * 32-byte aligned, and any padding elements must be initialized
|
|
48 * (i.e not denormal/nan).
|
|
49 */
|
|
50 void (*update_lls)(struct LLSModel *m, const double *var);
|
|
51 /**
|
|
52 * Inner product of var[] and the LPC coefs.
|
|
53 * @param m this context
|
|
54 * @param var training samples, excluding the value to be predicted. unaligned.
|
|
55 * @param order lpc order
|
|
56 */
|
|
57 double (*evaluate_lls)(struct LLSModel *m, const double *var, int order);
|
|
58 } LLSModel;
|
|
59
|
|
60 void avpriv_init_lls(LLSModel *m, int indep_count);
|
|
61 void ff_init_lls_x86(LLSModel *m);
|
|
62 void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
|
|
63
|
|
64 #endif /* AVUTIL_LLS_H */
|