Non Linear Conditional Gaussian. More...

#include <nonlinearanalyticconditionalgaussianmobile.h>

Inheritance diagram for BFL::NonLinearAnalyticConditionalGaussianMobile:

[legend]

Public Member Functions
virtual MatrixWrapper::Matrix	dfGet (unsigned int i) const
	returns derivative from function to n-th conditional variable More...

virtual MatrixWrapper::Matrix	dfGet (unsigned int i) const
	returns derivative from function to n-th conditional variable More...

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

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

	NonLinearAnalyticConditionalGaussianMobile (const Gaussian &additiveNoise)
	Constructor. More...

	NonLinearAnalyticConditionalGaussianMobile (const Gaussian &additiveNoise)
	Constructor. More...

virtual	~NonLinearAnalyticConditionalGaussianMobile ()
	Destructor. More...

virtual	~NonLinearAnalyticConditionalGaussianMobile ()
	Destructor. More...

Public Member Functions inherited from BFL::AnalyticConditionalGaussianAdditiveNoise
const MatrixWrapper::ColumnVector &	AdditiveNoiseMuGet () const
	Get the mean Value of the Additive Gaussian uncertainty. More...

void	AdditiveNoiseMuSet (const MatrixWrapper::ColumnVector &mu)
	Set the mean Value of the Additive Gaussian uncertainty. More...

const MatrixWrapper::SymmetricMatrix &	AdditiveNoiseSigmaGet () const
	Get the covariance matrix of the Additive Gaussian uncertainty. More...

void	AdditiveNoiseSigmaSet (const MatrixWrapper::SymmetricMatrix &sigma)
	Set the covariance of the Additive Gaussian uncertainty. More...

	AnalyticConditionalGaussianAdditiveNoise (const Gaussian &gaus, int num_conditional_arguments=1)
	Constructor. More...

	AnalyticConditionalGaussianAdditiveNoise (int dim=0, int num_conditional_arguments=0)
	Constructor 2, Gaussian not yet known. More...

virtual MatrixWrapper::SymmetricMatrix	CovarianceGet () const
	Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf. More...

virtual	~AnalyticConditionalGaussianAdditiveNoise ()
	Destructor. More...

Public Member Functions inherited from BFL::AnalyticConditionalGaussian
	AnalyticConditionalGaussian (int dim=0, int num_conditional_arguments=0)
	Constructor. More...

virtual	~AnalyticConditionalGaussian ()
	Destructor. More...

Public Member Functions inherited from BFL::ConditionalGaussian
virtual ConditionalGaussian *	Clone () const
	Clone function. More...

	ConditionalGaussian (int dim=0, int num_conditional_arguments=0)
	Constructor. More...

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

virtual bool	SampleFrom (Sample< MatrixWrapper::ColumnVector > &sample, int method=DEFAULT, void *args=NULL) const

virtual bool	SampleFrom (std::vector< Sample< MatrixWrapper::ColumnVector > > &samples, const int num_samples, int method=DEFAULT, void *args=NULL) const

virtual	~ConditionalGaussian ()
	Destructor. More...

Public Member Functions inherited from BFL::ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
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 >
unsigned int	DimensionGet () const
	Get the dimension of the argument. More...

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

Additional Inherited Members
Protected Attributes inherited from BFL::AnalyticConditionalGaussianAdditiveNoise
MatrixWrapper::ColumnVector	_additiveNoise_Mu
	additive noise expected value More...

MatrixWrapper::SymmetricMatrix	_additiveNoise_Sigma
	additive noise covariance More...

Protected Attributes inherited from BFL::ConditionalGaussian
ColumnVector	_diff

Matrix	_Low_triangle

ColumnVector	_Mu

ColumnVector	_samples

ColumnVector	_SampleValue

Detailed Description

Non Linear Conditional Gaussian.

$\mu = Matrix[1] . ConditionalArguments[0] + Matrix[2]. ConditionalArguments[1] + ... + Noise.\mu$
Covariance is independent of the ConditionalArguments, and is the covariance of the Noise pdf

Definition at line 34 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.h.

Constructor & Destructor Documentation

◆ NonLinearAnalyticConditionalGaussianMobile() [1/2]

BFL::NonLinearAnalyticConditionalGaussianMobile::NonLinearAnalyticConditionalGaussianMobile ( const Gaussian & additiveNoise )

Constructor.

Precondition: : Every Matrix should have the same amount of rows! This is currently not checked. The same goes for the number of columns, which should be equal to the number of rows of the corresponding conditional argument!

Parameters

ratio	vector containing the different matrices of the linear relationship between the conditional arguments and $\mu$
additiveNoise	Pdf representing the additive Gaussian uncertainty

Definition at line 29 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.

◆ ~NonLinearAnalyticConditionalGaussianMobile() [1/2]

BFL::NonLinearAnalyticConditionalGaussianMobile::~NonLinearAnalyticConditionalGaussianMobile ( )

virtual

Destructor.

Definition at line 35 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.

◆ NonLinearAnalyticConditionalGaussianMobile() [2/2]

BFL::NonLinearAnalyticConditionalGaussianMobile::NonLinearAnalyticConditionalGaussianMobile ( const Gaussian & additiveNoise )

Constructor.

Precondition: : Every Matrix should have the same amount of rows! This is currently not checked. The same goes for the number of columns, which should be equal to the number of rows of the corresponding conditional argument!

Parameters

ratio	vector containing the different matrices of the linear relationship between the conditional arguments and $\mu$
additiveNoise	Pdf representing the additive Gaussian uncertainty

◆ ~NonLinearAnalyticConditionalGaussianMobile() [2/2]

virtual BFL::NonLinearAnalyticConditionalGaussianMobile::~NonLinearAnalyticConditionalGaussianMobile ( )

virtual

Destructor.

Member Function Documentation

◆ dfGet() [1/2]

virtual MatrixWrapper::Matrix BFL::NonLinearAnalyticConditionalGaussianMobile::dfGet ( unsigned int i ) const

virtual

returns derivative from function to n-th conditional variable

Parameters

i	Number of the conditional variable to use for partial derivation

Returns: Partial derivative with respect to conditional variable i

Reimplemented from BFL::AnalyticConditionalGaussian.

◆ dfGet() [2/2]

Matrix BFL::NonLinearAnalyticConditionalGaussianMobile::dfGet ( unsigned int i ) const

virtual

returns derivative from function to n-th conditional variable

Parameters

i	Number of the conditional variable to use for partial derivation

Returns: Partial derivative with respect to conditional variable i

Reimplemented from BFL::AnalyticConditionalGaussian.

Definition at line 47 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.

◆ ExpectedValueGet() [1/2]

virtual MatrixWrapper::ColumnVector BFL::NonLinearAnalyticConditionalGaussianMobile::ExpectedValueGet ( ) const

virtual

Get the expected value E[x] of the pdf.

Get low order statistic (Expected Value) of this AnalyticPdf

Returns: The Expected Value of the Pdf (a ColumnVector with DIMENSION rows)

Note: No set functions here! This can be useful for analytic functions, but not for sample based representations!; For certain discrete Pdfs, this function has no meaning, what is the average between yes and no?

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

◆ ExpectedValueGet() [2/2]

ColumnVector BFL::NonLinearAnalyticConditionalGaussianMobile::ExpectedValueGet ( ) const

virtual

Get the expected value E[x] of the pdf.

Get low order statistic (Expected Value) of this AnalyticPdf

Returns: The Expected Value of the Pdf (a ColumnVector with DIMENSION rows)

Note: No set functions here! This can be useful for analytic functions, but not for sample based representations!; For certain discrete Pdfs, this function has no meaning, what is the average between yes and no?

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

Definition at line 37 of file compare_filters/nonlinearanalyticconditionalgaussianmobile.cpp.

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

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ NonLinearAnalyticConditionalGaussianMobile() [1/2]

◆ ~NonLinearAnalyticConditionalGaussianMobile() [1/2]

◆ NonLinearAnalyticConditionalGaussianMobile() [2/2]

◆ ~NonLinearAnalyticConditionalGaussianMobile() [2/2]

Member Function Documentation

◆ dfGet() [1/2]

◆ dfGet() [2/2]

◆ ExpectedValueGet() [1/2]

◆ ExpectedValueGet() [2/2]