Bayesian Filtering Library  Generated from SVN r
analyticconditionalgaussian_additivenoise.h
1 // $Id$
2 // Copyright (C) 2002 Klaas Gadeyne <first dot last at gmail dot com>
3 //
4 // This program is free software; you can redistribute it and/or modify
5 // it under the terms of the GNU Lesser General Public License as published by
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18 
19 #ifndef __ANALYTIC_CONDITIONAL_GAUSSIAN_ADDITIVE_NOISE__
20 #define __ANALYTIC_CONDITIONAL_GAUSSIAN_ADDITIVE_NOISE__
21 
22 #include "analyticconditionalgaussian.h"
23 #include "gaussian.h"
24 
25 namespace BFL
26 {
27 
29 
38  {
39  public:
41 
46  AnalyticConditionalGaussianAdditiveNoise(const Gaussian& gaus, int num_conditional_arguments=1);
47 
49 
54  AnalyticConditionalGaussianAdditiveNoise(int dim = 0, int num_conditional_arguments = 0);
55 
56  // Default copy constructor will do
57 
60 
61  // virtual function implemented here
62  virtual MatrixWrapper::SymmetricMatrix CovarianceGet () const;
63 
64  // data access functions
66 
70 
72 
76 
78 
82 
84 
88 
89 
90  protected:
93 
96  };
97 
98 } // End namespace BFL
99 
100 #endif // __ANALYTIC_CONDITIONAL_GAUSSIAN_ADDITIVE_NOISE__
101 
BFL::AnalyticConditionalGaussianAdditiveNoise
Abstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise.
Definition: analyticconditionalgaussian_additivenoise.h:37
MatrixWrapper::SymmetricMatrix
Definition: matrix_BOOST.h:109
BFL::Gaussian
Class representing Gaussian (or normal density)
Definition: gaussian.h:27
BFL::AnalyticConditionalGaussianAdditiveNoise::_additiveNoise_Sigma
MatrixWrapper::SymmetricMatrix _additiveNoise_Sigma
additive noise covariance
Definition: analyticconditionalgaussian_additivenoise.h:95
BFL::AnalyticConditionalGaussian
Abstract Class representing all FULL Analytical Conditional gaussians.
Definition: analyticconditionalgaussian.h:36
BFL::AnalyticConditionalGaussianAdditiveNoise::AnalyticConditionalGaussianAdditiveNoise
AnalyticConditionalGaussianAdditiveNoise(const Gaussian &gaus, int num_conditional_arguments=1)
Constructor.
MatrixWrapper::ColumnVector
Wrapper class for ColumnVectors (Boost implementation)
Definition: vector_BOOST.h:41
BFL::AnalyticConditionalGaussianAdditiveNoise::AdditiveNoiseSigmaSet
void AdditiveNoiseSigmaSet(const MatrixWrapper::SymmetricMatrix &sigma)
Set the covariance of the Additive Gaussian uncertainty.
BFL::AnalyticConditionalGaussianAdditiveNoise::AdditiveNoiseMuSet
void AdditiveNoiseMuSet(const MatrixWrapper::ColumnVector &mu)
Set the mean Value of the Additive Gaussian uncertainty.
BFL::AnalyticConditionalGaussianAdditiveNoise::AdditiveNoiseSigmaGet
const MatrixWrapper::SymmetricMatrix & AdditiveNoiseSigmaGet() const
Get the covariance matrix of the Additive Gaussian uncertainty.
BFL::AnalyticConditionalGaussianAdditiveNoise::_additiveNoise_Mu
MatrixWrapper::ColumnVector _additiveNoise_Mu
additive noise expected value
Definition: analyticconditionalgaussian_additivenoise.h:92
BFL::AnalyticConditionalGaussianAdditiveNoise::~AnalyticConditionalGaussianAdditiveNoise
virtual ~AnalyticConditionalGaussianAdditiveNoise()
Destructor.
BFL::AnalyticConditionalGaussianAdditiveNoise::AdditiveNoiseMuGet
const MatrixWrapper::ColumnVector & AdditiveNoiseMuGet() const
Get the mean Value of the Additive Gaussian uncertainty.