Uses of Interface
de.unihalle.informatik.MiToBo.math.distributions.interfaces.LogProbabilityDensityFunction

Packages that use LogProbabilityDensityFunction

Package	Description
de.unihalle.informatik.MiToBo.math.distributions.impl
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Uses of LogProbabilityDensityFunction in de.unihalle.informatik.MiToBo.math.distributions.impl

Classes in de.unihalle.informatik.MiToBo.math.distributions.impl that implement LogProbabilityDensityFunction

Modifier and Type	Class and Description
class	GaussianDistribution A multivariate Gaussian distribution.
class	GaussMixDistribution A multivariate Gaussian mixture distribution.
class	MixtureDistribution A distribution represented by a mixture of distributions
class	UniformDistribution A multivariate uniform distribution.

Uses of LogProbabilityDensityFunction in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts declared as LogProbabilityDensityFunction

Modifier and Type	Field and Description
protected LogProbabilityDensityFunction	AbstractAssociationDistribution.clutterdistrib spatial clutter distribution
protected LogProbabilityDensityFunction	AbstractAssociationDistribution.newborndistrib spatial distribution of observations from newborn targets

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts with parameters of type LogProbabilityDensityFunction

Constructor and Description
AbstractAssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, DataAssociationFactory assocFactory) Constructor

Uses of LogProbabilityDensityFunction in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with parameters of type LogProbabilityDensityFunction

Constructor and Description
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D) Constructor.
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max) Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int maxNumNeighbors, double maxDistNeighbors) Constructor.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max, int maxNumNeighbors, double maxDistNeighbors) Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.