Hidden Markov Model (HMM) Toolbox written by Kevin Murphy A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the communications literature.

hmmbox_3_2\arembed.m
..........\arwls.m
..........\ar_spec.m
..........\Contents.m
..........\dar.m
..........\DATA-STRUCTURE
..........\demar.m
..........\demar.mat
..........\demar2.m
..........\demgauss.mat
..........\demgausshmm.m
..........\demlike.m
..........\demlike.mat
..........\embed.m
..........\hmmdecode.m
..........\hmminit.m
..........\hmmposterior.m
..........\hmmsim.m
..........\hmmtrain.m
..........\init_ar.m
..........\init_trans.m
..........\INSTALLATION
..........\obsinit.m
..........\obslike.m
..........\obsupdate.m
..........\plotseg.m
..........\rdiv.m
..........\README
..........\rprod.m
..........\rsum.m
..........\sampgauss.m
..........\shufflestates.m
..........\testlag.m
..........\VERSION
..........\vittest.m
..........\wgmmem.m
hmmbox_3_2

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