Forward Viterbi Algorithm

Forward Viterbi algorithm based on: http://en.wikipedia.org/wiki/Viterbi_algorithm

Al momento, stai seguendo questo contributo

Forward Viterbi algorithm based on the Python code found at: http://en.wikipedia.org/wiki/Viterbi_algorithm

Also included is an example based on the one from the Wikipedia page for a simple 2-state model with 4 observations. To paraphrase:

Bob tells Alice his daily activities (observations) and Alice wants to determine the most likely weather each day (states). Since Alice lives far away, the weather is unknown to her (hidden). Assuming that the states behave as a Markov process, and the observations have a statistical dependency on the states, the Viterbi algorithm can find the most likely weather pattern (path).

More information can be found at:
http://en.wikipedia.org/wiki/Viterbi_algorithm

Cita come

David Conger (2026). Forward Viterbi Algorithm (https://it.mathworks.com/matlabcentral/fileexchange/24516-forward-viterbi-algorithm), MATLAB Central File Exchange. Recuperato .

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.1.0.0

Fixed the problem found by Justin. To make things simpler, observations are now numbered, rather than allowing strings.

1.0.0.0