WhiteNoiseModel Class Reference
[GPSTk data structures]

#include <StochasticModel.hpp>

Inheritance diagram for WhiteNoiseModel:

[legend]Collaboration diagram for WhiteNoiseModel:

[legend]List of all members.

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Detailed Description

This class compute the elements of Phi and Q matrices corresponding to a white noise stochastic model.

See also:

StochasticModel, ConstantModel, RandomWalkModel

Definition at line 233 of file StochasticModel.hpp.

Public Member Functions
	WhiteNoiseModel (double sigma=300000.0)
	Common constructor.
virtual WhiteNoiseModel &	setSigma (double sigma)
	Set the value of white noise sigma.
virtual double	getPhi ()
	Get element of the state transition matrix Phi.
virtual double	getQ ()
	Get element of the process noise matrix Q.
virtual	~WhiteNoiseModel ()
	Destructor.

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Constructor & Destructor Documentation

WhiteNoiseModel (  double  sigma = 300000.0  )  [inline]

Common constructor. Parameters: sigma  Standard deviation (sigma) of white noise process Definition at line 243 of file StochasticModel.hpp.

virtual ~WhiteNoiseModel (   )  [inline, virtual]

Destructor. Definition at line 263 of file StochasticModel.hpp.

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Member Function Documentation

virtual double getPhi (   )  [inline, virtual]

Get element of the state transition matrix Phi. Reimplemented from StochasticModel. Definition at line 253 of file StochasticModel.hpp.

virtual double getQ (   )  [inline, virtual]

Get element of the process noise matrix Q. Reimplemented from StochasticModel. Definition at line 258 of file StochasticModel.hpp.

virtual WhiteNoiseModel& setSigma (  double  sigma  )  [inline, virtual]

Set the value of white noise sigma. Definition at line 248 of file StochasticModel.hpp. Referenced by GeneralEquations::init(), and SolverPPP::setKinematic().

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

• StochasticModel.hpp

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