URL:
<http://gna.org/task/?6421>
Summary: Submission of DHMM
Project: Gna! Administration
Submitted by: droggen
Submitted on: Monday 01/12/2009 at 14:51
Status: None
Approval Status: None
Should Start On: Monday 01/12/2009 at 00:00
Should be Finished on: Thursday 01/22/2009 at 00:00
Category: Project Approval
Priority: 5 - Normal
Privacy: Public
Assigned to: None
Open/Closed: Open
Discussion Lock: Any
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Details:
A new project has been registered at Gna!
This project account will remain inactive until a site admin approves or
discards the registration.
= Registration Administration =
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or discarding the registration must be done using the specific Group
Administration <https://gna.org/siteadmin/groupedit.php?group_id=2879> page*,
accessible only to site administrators, effectively *logged as site
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* Group Administration
<https://gna.org/siteadmin/groupedit.php?group_id=2879>
= Registration Details =
* Name: *DHMM*
* System Name: *dhmm*
* Type: Programs
* License: Modified BSD License
----
==== Description: ====
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)
- 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.
Source code available here: http://droggen.free.fr/software/dhmm_1.00.zip
==== Other Software Required: ====
C++ and STL
No other dependencies
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