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Hidden Markov Methods. Algorithms and Implementation
Final Project Report. MATH 127.

Nasser M. Abbasi

Course taken during Fall 2002   Compiled on May 25, 2020 at 5:50am

Hidden Markov Models (HMM) main algorithms (forward, backward, and Viterbi) are outlined, and a GUI based implementation (in MATLAB) of a basic HMM is included along with a user guide. The implementation uses a flexible plain text configuration file format for describing the HMM.

This is screen shot of the final Matlab program written for the implmenetation.


Description and download information on the above program as in the appendix.

1 Introduction
2 Definitions and notations
3 Graphical representations of an HMM
 3.1 Example HMM
4 HMM algorithms
 4.1 Forward \(\alpha \) algorithm
 4.2 Backward \(\beta \) algorithm
 4.3 Viterbi algorithm
5 Design and user guide of SHMM
 5.1 Configuration file description
 5.2 Configuration file examples
 5.3 SHMM User interface
 5.4 Source code description
 5.5 Installation instructions
6 Appendix
 6.1 User guide and download
 6.2 Source code