Hidden Markov Model Toolbox (HMM)

Version 1.0.0.0 (7 KB) by Mo Chen
Hidden Markov Model Toolbox
4.7
(7)
6.4K Downloads
Updated 12 Sep 2016

View License

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 (2026). Hidden Markov Model Toolbox (HMM) (https://uk.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
Categories
Find more on Error Detection and Correction in Help Center and MATLAB Answers
Tags Add Tags
Acknowledgements

Inspired by: Pattern Recognition and Machine Learning Toolbox

HMM/

Version Published Release Notes
1.0.0.0

fix missing file discreteRnd.m