X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=libavutil%2Flls.h;h=27c0d5e3fe60267b6bbc2cd5bb3d67c4fc16c257;hb=b94ec30428b9696f99b08055735689623fe63954;hp=59ad2e958d88d55f06b67b84a49bb500d109a817;hpb=b78e7197a81e193827cf2408fe25bc1f14843a72;p=ffmpeg diff --git a/libavutil/lls.h b/libavutil/lls.h index 59ad2e958d8..27c0d5e3fe6 100644 --- a/libavutil/lls.h +++ b/libavutil/lls.h @@ -3,43 +3,69 @@ * * Copyright (c) 2006 Michael Niedermayer * - * This file is part of FFmpeg. + * This file is part of Libav. * - * FFmpeg is free software; you can redistribute it and/or + * 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. * - * FFmpeg is distributed in the hope that it will be useful, + * 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 FFmpeg; if not, write to the Free Software - * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA + * License along with Libav; if not, write to the Free Software + * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */ -#ifndef LLS_H -#define LLS_H +#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{ - double covariance[MAX_VARS+1][MAX_VARS+1]; - double coeff[MAX_VARS][MAX_VARS]; +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; -}LLSModel; + /** + * 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 +#endif /* AVUTIL_LLS_H */