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/177129/9468868
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro
www.eeworm.com/read/372113/9521194
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro
www.eeworm.com/read/372037/9523890
m demos.m
function tbxStruct = demos
%DEMOS Return HOSA demo information to the MATLAB Demo.
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision: 1.9 $ $Date: 1999/01/04 21:33:15 $
www.eeworm.com/read/372037/9523917
m demarma.m
%DEMARMA HOSA Toolbox Demo: Linear Processes - Parametric (ARMA) model
% estimation; Blind deconvolution.
echo off
% Demo of arrcest, maest, armaqs, armarts, aroder, maorder,
% c
www.eeworm.com/read/372037/9523951
m d_ma.m
%D_MA HOSA Demo: Linear Processes - Parametric (MA) model estimation
% Blind deconvolution.
echo off
% Demo of maest
% A. Swami Jan 15, 1995
% Copyright (c) 1991-200
www.eeworm.com/read/372037/9524031
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/362008/10023882
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro
www.eeworm.com/read/163929/10139527
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/163801/10144865
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.2 21-Nov-1997
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
% (double click on
www.eeworm.com/read/163246/10168878
m ifestar2.m
function [fnorm,t,rejratio]=ifestar2(x,t);
%IFESTAR2 Instantaneous frequency estimation using AR2 modelisation.
% [FNORM,T2,RATIO]=IFESTAR2(X,T) computes an estimate of the
% instantaneous freq