Package dev.nm.stat.hmm

Class Viterbi

java.lang.Object

dev.nm.stat.hmm.Viterbi

public class Viterbi
extends Object

The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states - called the Viterbi path - that results in a sequence of observed events, especially in the context of Markov information sources and hidden Markov models.

See Also:

• Rabiner, L.R. "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE. Volume 77, Issue 2, 257 - 286. Feb 1989.
• W. Zucchini and I. L. MacDonald, "Hidden Markov Models for Time Series: An Introduction Using R," Boca Raton, Florida, CRC Press, 2009.
• Wikipedia: Viterbi algorithm
• "ref/hmm/viterbi.pdf"

Constructor Summary

Constructors

Constructor	Description
Viterbi(HiddenMarkovModel model)	Constructs an Viterbi algorithm for an HMM.

Method Summary

Modifier and Type	Method	Description
int[]	getViterbiStates(double[] observations)	Gets the most likely sequence of states using Viterbi algorithm (global decoding), given the observations and the underlying hidden Markov model.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Viterbi

public Viterbi(HiddenMarkovModel model)

Constructs an Viterbi algorithm for an HMM.

Parameters:

model - the underlying hidden Markov model

Method Detail

getViterbiStates

public int[] getViterbiStates(double[] observations)

Gets the most likely sequence of states using Viterbi algorithm (global decoding), given the observations and the underlying hidden Markov model.

Parameters:

observations - the observations

Returns:

the most likely sequence of states