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Diffstat (limited to 'libavutil/lls2.h')
-rw-r--r-- | libavutil/lls2.h | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/libavutil/lls2.h b/libavutil/lls2.h new file mode 100644 index 0000000..35815d2 --- /dev/null +++ b/libavutil/lls2.h @@ -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 "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 LLSModel2 from outside + +/** + * Linear least squares model. + */ +typedef struct LLSModel2 { + 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 LLSModel2 *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 LLSModel2 *m, double *var, int order); +} LLSModel2; + +void avpriv_init_lls2(LLSModel2 *m, int indep_count); +void ff_init_lls_x86(LLSModel2 *m); +void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order); + +#endif /* AVUTIL_LLS_H */ |