DiscreteFilter Class Reference

Estimator that can be used to estimate discrete states. The update is applied according to Bayes. No propagation has been included in this class, but the propagate method can simply be overloaded in a specialized class. More...

#include <DiscreteFilter.h>

Inheritance diagram for DiscreteFilter:

Public Member Functions
virtual DiscreteFilter *	clone () const
	DiscreteFilter ()
	DiscreteFilter (const DiscreteFilter &orig)
virtual const pbl::PDF &	getValue () const
	Returns the current estimated state value. More...
virtual void	propagate (const mhf::Time &time)
	Propagates the internal state to Time time. More...
virtual void	reset ()
	Resets the internal state of the estimator to its initial value. More...
virtual void	update (const pbl::PDF &z, const mhf::Time &time)
	Updates the internal state based on measurement z. More...
virtual	~DiscreteFilter ()
Public Member Functions inherited from mhf::IStateEstimator
virtual bool	setParameter (const std::string &param, const std::string &s)
virtual bool	setParameter (const std::string &param, bool b)
virtual bool	setParameter (const std::string &param, double v)
virtual	~IStateEstimator ()

Static Public Attributes
static int	N_DISCRETEKALMAN_FILTER = 0

Protected Attributes
pbl::PMF	pmf_

Detailed Description

Estimator that can be used to estimate discrete states. The update is applied according to Bayes. No propagation has been included in this class, but the propagate method can simply be overloaded in a specialized class.

Definition at line 50 of file DiscreteFilter.h.

Constructor & Destructor Documentation

DiscreteFilter::DiscreteFilter

(

)

Definition at line 41 of file DiscreteFilter.cpp.

DiscreteFilter::DiscreteFilter

(

const DiscreteFilter &

orig

)

Definition at line 45 of file DiscreteFilter.cpp.

DiscreteFilter::~DiscreteFilter ( )

virtual

Definition at line 49 of file DiscreteFilter.cpp.

Member Function Documentation

DiscreteFilter * DiscreteFilter::clone ( ) const

virtual

Implements mhf::IStateEstimator.

Definition at line 53 of file DiscreteFilter.cpp.

const pbl::PDF & DiscreteFilter::getValue ( ) const

virtual

Returns the current estimated state value.

Returns

The current state, i.e., the current attribute value represented as probability density function

Implements mhf::IStateEstimator.

Definition at line 70 of file DiscreteFilter.cpp.

void DiscreteFilter::propagate ( const mhf::Time &  time )

virtual

Propagates the internal state to Time time.

Parameters

time	The time to which the internal state is propagated

Implements mhf::IStateEstimator.

Definition at line 57 of file DiscreteFilter.cpp.

void DiscreteFilter::reset ( )

virtual

Resets the internal state of the estimator to its initial value.

Implements mhf::IStateEstimator.

Definition at line 66 of file DiscreteFilter.cpp.

void DiscreteFilter::update ( const pbl::PDF &  z, const mhf::Time &  time  )

virtual

Updates the internal state based on measurement z.

Parameters

z	The measurement with which to update. z should be a discrete distribution (PMF)
time	The time to which the internal state is propagated before updating

Implements mhf::IStateEstimator.

Definition at line 60 of file DiscreteFilter.cpp.

Member Data Documentation

int DiscreteFilter::N_DISCRETEKALMAN_FILTER = 0

static

Definition at line 54 of file DiscreteFilter.h.

pbl::PMF DiscreteFilter::pmf_

protected

Definition at line 90 of file DiscreteFilter.h.

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The documentation for this class was generated from the following files:

• DiscreteFilter.h
• DiscreteFilter.cpp