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).
引用格式
Mo Chen (2025). Hidden Markov Model Toolbox (HMM) (https://www.mathworks.com/matlabcentral/fileexchange/55866-hidden-markov-model-toolbox-hmm), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R2016a
兼容任何版本
平台兼容性
Windows macOS Linux类别
- Wireless Communications > Communications Toolbox > PHY Components > Error Detection and Correction >
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版本 | 已发布 | 发行说明 | |
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1.0.0.0 | fix missing file discreteRnd.m |