源码文件
function hmmo = hmmupdate(y,HMM) % % Compute updated HMM model from observations (nonnormalized) % % function HMM = hmmupdate…
BP-HMM 源代码
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源码文件
% Test data for the HMM % Copyright 1999 by Todd K. Moon HMM.A = [0 1/4 .2; 1 1/4 .4; 0 1/2 .4]; HMM.pi = [1;0;0]; HMM.f…
源码文件
% Test data for the HMM % Copyright 1999 by Todd K. Moon HMM.A = [0 1/4 .2; 1 1/4 .4; 0 1/2 .4]; HMM.pi = [1;0;0]; HMM.f…
源码文件
% Test the HMM using both Viterbi and EM-algorithm based training methods % the file hmmtest2vb.m contains identical results, bu…
源码文件
% Copyright 1999 by Todd K. Moon HMM.A = [0 1/4 .2; 1 1/4 .4; 0 1/2 .4]; HMM.pi = [1;0;0]; HMM.final = [0 0 1]; HMM.f{1}…
源码文件
% test the HMM stuff using the VA % Copyright 1999 by Todd K. Moon % Set up the HMM parameters HMM.A = [.1 0 0 0; .7 .1 0 0;.…
源码文件
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details…
源码文件
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details…
源码文件
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details…
源码文件
The routines use a common data structure 'hmm' with fields: hmm.obsmodel name of observation model 'Gauss' - Gaussian 'Ga…