BFL::NonlinearMeasurementPdf Class Reference

Non Linear Conditional Gaussian. More...

#include <nonlinearMeasurementPdf.h>

Inheritance diagram for BFL::NonlinearMeasurementPdf:

List of all members.

Public Member Functions
	NonlinearMeasurementPdf (const Gaussian &measNoise)
	Constructor.
virtual Probability	ProbabilityGet (const MatrixWrapper::ColumnVector &measurement) const
	Get the probability of a certain argument.
virtual	~NonlinearMeasurementPdf ()
	Destructor.
Private Attributes
Gaussian	_measNoise

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Detailed Description

Non Linear Conditional Gaussian.

Definition at line 29 of file nonlinearMeasurementPdf.h.

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Constructor & Destructor Documentation

BFL::NonlinearMeasurementPdf::NonlinearMeasurementPdf

(

const Gaussian &

measNoise

)

Constructor.

Parameters:

additiveNoise

Pdf representing the additive Gaussian uncertainty

Definition at line 29 of file nonlinearMeasurementPdf.cpp.

BFL::NonlinearMeasurementPdf::~NonlinearMeasurementPdf

(

)

[virtual]

Destructor.

Definition at line 36 of file nonlinearMeasurementPdf.cpp.

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Member Function Documentation

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.

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Member Data Documentation

Gaussian BFL::NonlinearMeasurementPdf::_measNoise [private]

Definition at line 45 of file nonlinearMeasurementPdf.h.

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

• nonlinearMeasurementPdf.h
• nonlinearMeasurementPdf.cpp