com.numericalmethod.suanshu.stats.hmm.rabiner

Class HiddenMarkovModel

java.lang.Object

com.numericalmethod.suanshu.stats.markovchain.SimpleMC

com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel

com.numericalmethod.suanshu.stats.hmm.rabiner.HiddenMarkovModel

All Implemented Interfaces:

RandomNumberGenerator, java.io.Serializable

Direct Known Subclasses:

HmmTrainByEM

public class HiddenMarkovModel
extends HiddenMarkovModel

This is the hidden Markov model as defined by Rabiner.

See Also:

"L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, Volume: 77, Issue:2, 257 - 286, Feb 1989.", Serialized Form

Constructor Summary

Constructors

Constructor and Description
HiddenMarkovModel(HiddenMarkovModel model) Copy constructor.
HiddenMarkovModel(Vector PI, Matrix A, Matrix B) Construct a Rabiner hidden Markov model.

Method Summary

Modifier and Type	Method and Description
ImmutableMatrix	B() Get the conditional probabilities of the observation symbols: rows correspond to state; columns corresponds symbols.
int	nSymbols() Get the number of observation symbols per state.

Methods inherited from class com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel

next, nextDouble, seed

Methods inherited from class com.numericalmethod.suanshu.stats.markovchain.SimpleMC

A, bin, getStationaryProbabilities, nextState, nStates, PI

Methods inherited from class java.lang.Object

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

Constructor Detail

HiddenMarkovModel

public HiddenMarkovModel(Vector PI,
                         Matrix A,
                         Matrix B)

Construct a Rabiner hidden Markov model.

Parameters:

PI - the initial state probabilities

A - the state transition probabilities

B - the conditional probabilities of the observation symbols: rows correspond to state; columns corresponds symbols

HiddenMarkovModel

public HiddenMarkovModel(HiddenMarkovModel model)

Copy constructor.

Parameters:

model - a HiddenMarkovModel

Method Detail

B

public ImmutableMatrix B()

Get the conditional probabilities of the observation symbols: rows correspond to state; columns corresponds symbols.

Returns:

the observation symbol probabilities

nSymbols

public int nSymbols()

Get the number of observation symbols per state.

Returns:

the number of observation symbols per state