代码搜索:Estimation

找到约 3,786 项符合「Estimation」的源代码

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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