BP-HMM 源代码

function f = hmmfupdaten(y,alphahat,betahat,c,HMM) % % Provide an update to the state output distributions for the HMM model %…

function lpy = hmmlpyseqn(y,HMM) % % Find the log likelihood of the sequence y[1],y[2],...,y[T], % using the parameters in HMM.…

function f = hmmdiscfupn(y,alphahat,betahat,c,HMM) % % Update the discrete HMM output distribution f using the normalized forwa…

function [y,ss] = hmmgendisc(T,HMM) % % Generate T outputs of a HMM with a discrete output distribution % % function y = hmmg…

function f = hmmfupdate(y,alpha,beta,HMM) % % Provide an update to the state output distributions for the HMM model % % funct…

function [A,pi] = hmmApiup(y,alpha,beta,f,HMM) % % Update the A and pi probabilities in the HMM using the forward and % backwa…

function f = hmmgausfup(y,alpha,beta,HMM) % % Update the Gaussian output distribution f of the HMM using the % probabilities a…

function lpy = hmmlpyseq(y,HMM) % % Find the log likelihood of the sequence y[1],y[2],...,y[T], % i.e., compute log P(y|HMM) …

function f = hmmdiscfup(y,alpha,beta,HMM) % % Update the output probability distribution f of the HMM using the forward % and …

function [alpha,beta,f] = hmmab(y,HMM) % % Compute the forward and backward probabilities for the model HMM % and the output p…