forward and backward and viterbi hmm matlab code
2016-08-23
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Four good and test matlab mfile for forward and backward and viterbi algorithm in Hidden markov model
% VITERBI Find the most-probable (Viterbi) path through the HMM state trellis.
% path = viterbi(prior, transmat, obslik)
%
% Inputs:
% prior(i) = Pr(Q(1) = i)
% transmat(i,j) = Pr(Q(t+1)=j | Q(t)=i)
% obslik(i,t) = Pr(y(t) | Q(t)=i)
%
% Outputs:
% path(t) = q(t), where q1 ... qT is the argmax of the above expression.
% delta(j,t) = prob. of the best sequence of length t-1 and then going to state j, and O(1:t)
% psi(j,t) = the best predecessor state, given that we ended up in state j at t
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