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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/176032/9521386
m contents.m
%本目录包含
% 薛定宇著:科学运算语言 MATLAB 5.3 程序设计与应用,清华大学
% 出版社,2000
%书中作者编写的所有函数,而书中例题的源程序在matlab_codes文件
%中给出。
% 本目录中既包含M函数,也包含下面各种类型的文件:
% VB 源程序、窗体文件、VBP程序与可执行文件;
% Mex 格式的 C 程序与 DLL 文件;
% ...
www.eeworm.com/read/372037/9523910
m contents.m
% Higher-Order Spectral Analysis Toolbox - Demo suite
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% hosademo : main demo file
% all other .m files in this directory are invoked by hosademo
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/371924/9530519
m contents.m
% DIPUM Toolbox.
% Version 1.1.4 15-July-2006
%
% M-files from the book Digital Image Processing Using MATLAB, by
% R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Hall, 2004.
% http://www.
www.eeworm.com/read/175683/9536352
m contents.m
% Support Vector Machine toolbox
% Version 2.51, January 2002
%
% SVM functions:
% svm - create a support vector machine classifier
% svmfwd - forward propagation through svm
% svmkernel - c
www.eeworm.com/read/371709/9540802
m contents.m
% SegyMAT : A toolbox to read, write and manipulating SEG Y formatted files
% Version 1.00
%
% New Features.
% README
%
% Main
% ReadSegy - Reads Segy File
% ReadSegyHeader -
www.eeworm.com/read/371636/9544064
m contents.m
% Time-Frequency Toolbox.
% Version 1.0 January 1996
% Copyright (c) 1994-96 by CNRS (France) - RICE University (USA).
%
% Signal Generation Files
%
% sigmerge - Add two signals with given energy ra
www.eeworm.com/read/371345/9555287
m contents.m
% FastICA for Matlab 7.x and 6.x
% Version 2.5, October 19 2005
% Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el
www.eeworm.com/read/175082/9560918
m contents.m
% Clustering Toolbox
%
% Basic algorithms:
%
% agglom : Basic Agglomerative Clustering
% kmeans : k-means clustering
% mixtureEM : cluster by estimating a mixture of Gaussians
%