Hidden Markov Model Toolbox (HMM)

Hidden Markov Model Toolbox


Updated Mon, 12 Sep 2016 11:56:36 +0000

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This package contains functions that model time series data with HMM. It Includes Viterbi, HMM filter, HMM smoother, EM algorithm for learning the parameters of HMM, etc.
The code is fully optimized yet is succinct so that user can easily learn the algorithms.
This pakcage is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

Cite As

Mo Chen (2023). Hidden Markov Model Toolbox (HMM) (https://www.mathworks.com/matlabcentral/fileexchange/55866-hidden-markov-model-toolbox-hmm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: Pattern Recognition and Machine Learning Toolbox

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Version Published Release Notes

fix missing file discreteRnd.m