Non Linear Conditional Gaussian. More...

Public Member Functions
virtual MatrixWrapper::Matrix	dfGet (unsigned int i) const
virtual MatrixWrapper::ColumnVector	ExpectedValueGet () const
	NonLinearAnalyticConditionalGaussianOdo (const Gaussian &additiveNoise)
	Constructor.
virtual	~NonLinearAnalyticConditionalGaussianOdo ()
	Destructor.
Private Attributes
MatrixWrapper::Matrix	df

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

Constructor & Destructor Documentation

BFL::NonLinearAnalyticConditionalGaussianOdo::NonLinearAnalyticConditionalGaussianOdo ( 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

BFL::NonLinearAnalyticConditionalGaussianOdo::~NonLinearAnalyticConditionalGaussianOdo ( ) [virtual]

Destructor.

Matrix BFL::NonLinearAnalyticConditionalGaussianOdo::dfGet ( unsigned int i ) const [virtual]

ColumnVector BFL::NonLinearAnalyticConditionalGaussianOdo::ExpectedValueGet ( ) const [virtual]

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