代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/137160/13342274
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/314886/13557136
m est.m
function [est_coefs,signal]=est(signal,ch_coefs,frames,sim_options)
%**************************************************************************
%This file carriers out channel estimation based on
www.eeworm.com/read/314653/13562523
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/147422/5729390
m mgif_es.m
%
% To estimate first five formants frequencies and bandwidths
% using lpc analysis
% This estimation is rough initial values for manual adjustment of
% formant frequency and bandwidth.
%
% Auth
www.eeworm.com/read/136827/5847329
c motion_est_template.c
/*
* Motion estimation
* Copyright (c) 2002 Michael Niedermayer
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
*
www.eeworm.com/read/493294/6400264
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/491039/6439437
m est.m
function [est_coefs,signal]=est(signal,ch_coefs,frames,sim_options)
%**************************************************************************
%This file carriers out channel estimation based on
www.eeworm.com/read/410820/11268029
txt changes.txt
----------------------------------------------------------------------------
Version 3.0b3 28-Oct-95
1) Added a check in coplanar_extrinsic_parameter_estimation () to choose
the correct rotation
www.eeworm.com/read/400577/11572995
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/256797/11971879
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%