mrpt::bayes::CRejectionSamplingCapable< TStateSpace > Class Template Reference

Detailed Description

template<class TStateSpace>
class mrpt::bayes::CRejectionSamplingCapable< TStateSpace >

A base class for implementing rejection sampling in a generic state space.

See the main method CRejectionSamplingCapable::rejectionSampling To use this class, create your own class as a child of this one and implement the desired virtual methods, and add any required internal data.

Definition at line 29 of file CRejectionSamplingCapable.h.

#include <mrpt/bayes/CRejectionSamplingCapable.h>

Inheritance diagram for mrpt::bayes::CRejectionSamplingCapable< TStateSpace >:

Public Types
typedef CProbabilityParticle< TStateSpace >	TParticle

Public Member Functions
virtual	~CRejectionSamplingCapable ()
	Virtual destructor. More...
void	rejectionSampling (size_t desiredSamples, std::vector< TParticle > &outSamples, size_t timeoutTrials=1000)
	Generates a set of N independent samples via rejection sampling. More...

Protected Member Functions
virtual void	RS_drawFromProposal (TStateSpace &outSample)=0
	Generates one sample, drawing from some proposal distribution. More...
virtual double	RS_observationLikelihood (const TStateSpace &x)=0
	Returns the NORMALIZED observation likelihood (linear, not exponential!!!) at a given point of the state space (values in the range [0,1]). More...

Member Typedef Documentation

TParticle

template<class TStateSpace>

typedef CProbabilityParticle<TStateSpace> mrpt::bayes::CRejectionSamplingCapable< TStateSpace >::TParticle

Definition at line 32 of file CRejectionSamplingCapable.h.

Constructor & Destructor Documentation

~CRejectionSamplingCapable()

template<class TStateSpace>

virtual mrpt::bayes::CRejectionSamplingCapable< TStateSpace >::~CRejectionSamplingCapable ( )

inlinevirtual

Virtual destructor.

Definition at line 36 of file CRejectionSamplingCapable.h.

Member Function Documentation

rejectionSampling()

template<class TStateSpace>

void mrpt::bayes::CRejectionSamplingCapable< TStateSpace >::rejectionSampling ( size_t  desiredSamples, std::vector< TParticle > &  outSamples, size_t  timeoutTrials = 1000  )

inline

Generates a set of N independent samples via rejection sampling.

Parameters

desiredSamples	The number of desired samples to generate
outSamples	The output samples.
timeoutTrials	The maximum number of rejection trials for each generated sample (i.e. the maximum number of iterations). This can be used to set a limit to the time complexity of the algorithm for difficult probability densities. All will have equal importance weights (a property of rejection sampling), although those samples generated at timeout will have a different importance weights.

Definition at line 48 of file CRejectionSamplingCapable.h.

RS_drawFromProposal()

template<class TStateSpace>

virtual void mrpt::bayes::CRejectionSamplingCapable< TStateSpace >::RS_drawFromProposal ( TStateSpace &  outSample )

protectedpure virtual

Generates one sample, drawing from some proposal distribution.

Implemented in mrpt::slam::CRejectionSamplingRangeOnlyLocalization.

Referenced by mrpt::bayes::CRejectionSamplingCapable< mrpt::poses::CPose2D >::rejectionSampling().

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RS_observationLikelihood()

template<class TStateSpace>

virtual double mrpt::bayes::CRejectionSamplingCapable< TStateSpace >::RS_observationLikelihood ( const TStateSpace &  x )

protectedpure virtual

Returns the NORMALIZED observation likelihood (linear, not exponential!!!) at a given point of the state space (values in the range [0,1]).

Implemented in mrpt::slam::CRejectionSamplingRangeOnlyLocalization.

Referenced by mrpt::bayes::CRejectionSamplingCapable< mrpt::poses::CPose2D >::rejectionSampling().

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