1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
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
|
/*
* linear least squares model
*
* Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
*
* This file is part of Libav.
*
* Libav is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* Libav is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with Libav; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#ifndef AVUTIL_LLS_H
#define AVUTIL_LLS_H
#include "common.h"
#include "mem.h"
#include "version.h"
#define MAX_VARS 32
#define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
//FIXME avoid direct access to LLSModel from outside
/**
* Linear least squares model.
*/
typedef struct LLSModel {
DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
double variance[MAX_VARS];
int indep_count;
/**
* Take the outer-product of var[] with itself, and add to the covariance matrix.
* @param m this context
* @param var training samples, starting with the value to be predicted
* 32-byte aligned, and any padding elements must be initialized
* (i.e not denormal/nan).
*/
void (*update_lls)(struct LLSModel *m, double *var);
/**
* Inner product of var[] and the LPC coefs.
* @param m this context
* @param var training samples, excluding the value to be predicted. unaligned.
* @param order lpc order
*/
double (*evaluate_lls)(struct LLSModel *m, double *var, int order);
} LLSModel;
void avpriv_init_lls(LLSModel *m, int indep_count);
void ff_init_lls_x86(LLSModel *m);
void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
#if FF_API_LLS_PRIVATE
void av_init_lls(LLSModel *m, int indep_count);
void av_update_lls(LLSModel *m, double *param, double decay);
void av_solve_lls(LLSModel *m, double threshold, int min_order);
double av_evaluate_lls(LLSModel *m, double *param, int order);
#endif /* FF_API_LLS_PRIVATE */
#endif /* AVUTIL_LLS_H */
|
