Non Linear Conditional Gaussian. More...

#include <nonlinearMeasurementPdf.h>

Inheritance diagram for BFL::NonlinearMeasurementPdf:

Public Member Functions
	NonlinearMeasurementPdf (const Gaussian &measNoise)
	Constructor. More...

virtual Probability	ProbabilityGet (const MatrixWrapper::ColumnVector &measurement) const
	Get the probability of a certain argument. More...

virtual	~NonlinearMeasurementPdf ()
	Destructor. More...

Public Member Functions inherited from BFL::ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
virtual ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *	Clone () const
	Clone function. More...

const MatrixWrapper::ColumnVector &	ConditionalArgumentGet (unsigned int n_argument) const
	Get the n-th argument of the list. More...

virtual void	ConditionalArgumentSet (unsigned int n_argument, const MatrixWrapper::ColumnVector &argument)
	Set the n-th argument of the list. More...

const std::vector< MatrixWrapper::ColumnVector > &	ConditionalArgumentsGet () const
	Get the whole list of conditional arguments. More...

virtual void	ConditionalArgumentsSet (std::vector< MatrixWrapper::ColumnVector > ConditionalArguments)
	Set the whole list of conditional arguments. More...

	ConditionalPdf (int dimension=0, unsigned int num_conditional_arguments=0)
	Constructor. More...

unsigned int	NumConditionalArgumentsGet () const
	Get the Number of conditional arguments. More...

virtual void	NumConditionalArgumentsSet (unsigned int numconditionalarguments)
	Set the Number of conditional arguments. More...

virtual	~ConditionalPdf ()
	Destructor. More...

Public Member Functions inherited from BFL::BFL::Pdf< MatrixWrapper::ColumnVector >
virtual MatrixWrapper::SymmetricMatrix	CovarianceGet () const
	Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf. More...

unsigned int	DimensionGet () const
	Get the dimension of the argument. More...

virtual void	DimensionSet (unsigned int dim)
	Set the dimension of the argument. More...

virtual MatrixWrapper::ColumnVector	ExpectedValueGet () const
	Get the expected value E[x] of the pdf. More...

	Pdf (unsigned int dimension=0)
	Constructor. More...

virtual bool	SampleFrom (vector< Sample< MatrixWrapper::ColumnVector > > &list_samples, const unsigned int num_samples, int method=DEFAULT, void *args=NULL) const
	Draw multiple samples from the Pdf (overloaded) More...

virtual bool	SampleFrom (Sample< MatrixWrapper::ColumnVector > &one_sample, int method=DEFAULT, void *args=NULL) const
	Draw 1 sample from the Pdf: More...

virtual	~Pdf ()
	Destructor. More...

Private Attributes
Gaussian	_measNoise

Detailed Description

Non Linear Conditional Gaussian.

Definition at line 29 of file nonlinearMeasurementPdf.h.

Constructor & Destructor Documentation

◆ NonlinearMeasurementPdf()

BFL::NonlinearMeasurementPdf::NonlinearMeasurementPdf ( const Gaussian & measNoise )

Constructor.

Parameters

additiveNoise Pdf representing the additive Gaussian uncertainty

Definition at line 29 of file nonlinearMeasurementPdf.cpp.

◆ ~NonlinearMeasurementPdf()

BFL::NonlinearMeasurementPdf::~NonlinearMeasurementPdf ( )

virtual

Destructor.

Definition at line 36 of file nonlinearMeasurementPdf.cpp.

Member Function Documentation

◆ ProbabilityGet()

Probability BFL::NonlinearMeasurementPdf::ProbabilityGet ( const MatrixWrapper::ColumnVector & input ) const

virtual

Get the probability of a certain argument.

Parameters

input T argument of the Pdf

Returns: the probability value of the argument

Reimplemented from BFL::BFL::Pdf< MatrixWrapper::ColumnVector >.

Definition at line 39 of file nonlinearMeasurementPdf.cpp.

Member Data Documentation

◆ _measNoise

Gaussian BFL::NonlinearMeasurementPdf::_measNoise

private

Definition at line 45 of file nonlinearMeasurementPdf.h.

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

Public Member Functions

Private Attributes