This library provides a C++ implementation of Hidden Markov Models with Discrete observations. Includes MEX files for use of the HMM class under Matlab.

Features:
- Class encapsulating HMM with discrete observations
- Implements the 3 key HMM algorithms: Forward algorithm, Viterbi algorithm, and Baum-Welch algorithm
- Configurable number of states
- Configurable number of observations
- Configurable topology
- Simple to use
- No dependency (except for MEX files) (not yet released)
- Crossplatform (plain C/C++)
- Verified against Kevin Murphy's Matlab HMM toolbox (only discrete scalar observations)

Limitations:
- Does not support vector of observations at each time step.

License: Modified BSD License

Registration Date: Mon 12 Jan 2009 01:50:34 PM UTC
License: Modified BSD License
Development Status: 0 - Undefined