external/srs
1
0
Fork 0
mirror of https://github.com/ossrs/srs.git synced 2025-03-09 15:49:59 +00:00
Code Issues Releases Wiki Activity

Rename ffmpeg-4.2-fit to ffmpeg-4-fit

Browse source
This commit is contained in:
winlin 2021-03-02 17:48:40 +08:00
parent b19074721c
commit 27712fdda7
720 changed files with 14 additions and 14 deletions
Download patch file Download diff file Expand all files Collapse all files

64
trunk/3rdparty/ffmpeg-4-fit/libavutil/lls.h vendored Normal file
View file

@ -0,0 +1,64 @@
/*
* linear least squares model
*
* Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
*
* This file is part of FFmpeg.
*
* FFmpeg 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.
*
* FFmpeg 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 FFmpeg; 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 "macros.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, const 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, const 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);
#endif /* AVUTIL_LLS_H */