Bayesian Filtering Library Generated from SVN r
Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123456]
 CBackwardFilter< StateVar >Virtual Baseclass representing all bayesian backward filters
 CParticleSmoother< StateVar >Class representing a particle backward filter
 CBackwardFilter< MatrixWrapper::ColumnVector >
 CRauchTungStriebelClass representing all Rauch-Tung-Striebel backward filters
 CColumnVector_WrapperClass ColumnVectorWrapper
 CColumnVector_WrapperClass ColumnVectorWrapper
 CFilter< StateVar, MeasVar >Abstract class representing an interface for Bayesian Filters
 CMixtureParticleFilter< StateVar, MeasVar >Virtual Class representing all Mixture particle filters
 CMixtureBootstrapFilter< StateVar, MeasVar >Particular mixture particle filter : Proposal PDF = SystemPDF
 CParticleFilter< StateVar, MeasVar >Virtual Class representing all particle filters
 CASIRFilter< StateVar, MeasVar >ASIR: Auxiliary Particle Filter
 CBootstrapFilter< StateVar, MeasVar >Particular particle filter : Proposal PDF = SystemPDF
 COptimalimportancefilter< StateVar, MeasVar >Particular particle filter: Proposal PDF = Optimal Importance function
 CFilter< ColumnVector, ColumnVector >
 CParticleFilter< ColumnVector, ColumnVector >
 CEKParticleFilterParticle filter using EKF for proposal step
 CFilter< int, MeasVar >
 CHistogramFilter< MeasVar >Class representing the histogram filter
 CFilter< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
 CKalmanFilterClass representing the family of all Kalman Filters (EKF, IEKF, ...)
 CExtendedKalmanFilter
 CIteratedExtendedKalmanFilter
 CNonminimalKalmanFilter
 CSRIteratedExtendedKalmanFilter
 CInnovationCheckClass implementing an innovationCheck used in IEKF
 CMatrix_WrapperClass Matrixwrapper
 CMatrix_WrapperClass Matrixwrapper
 CMeasurementModel< MeasVar, StateVar >
 CMeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
 CAnalyticMeasurementModelGaussianUncertainty
 CLinearAnalyticMeasurementModelGaussianUncertaintyClass for linear analytic measurementmodels with additive gaussian noise
 CLinearAnalyticMeasurementModelGaussianUncertainty_ImplicitClass for linear analytic measurementmodels with additive gaussian noise
 CNonLinearAnalyticMeasurementModelGaussianUncertainty_GinacClass for nonlinear analytic measurementmodels with additive gaussian noise
 CPdf< T >Class PDF: Virtual Base class representing Probability Density Functions
 CConditionalPdf< T, T >
 CMCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
 CMCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
 CMixture< T >Class representing a mixture of PDFs, the mixture can contain different
 CPdf< ColumnVector >
 CConditionalPdf< ColumnVector, ColumnVector >
 CPdf< int >
 CConditionalPdf< int, int >
 CDiscreteConditionalPdfClass representing all FULLY Discrete Conditional PDF's
 CDiscretePdfClass representing a PDF on a discrete variable
 CPdf< MatrixWrapper::ColumnVector >
 CConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
 CConditionalGaussianAbstract Class representing all Conditional gaussians
 CAnalyticConditionalGaussianAbstract Class representing all FULL Analytical Conditional gaussians
 CAnalyticConditionalGaussianAdditiveNoiseAbstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise
 CLinearAnalyticConditionalGaussianLinear Conditional Gaussian
 CNonLinearAnalyticConditionalGaussian_GinacConditional Gaussian for an analytic nonlinear system using Ginac:
 CFilterProposalDensityProposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter)
 CEKFProposalDensityProposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter)
 COptimalImportanceDensityOptimal importance density for Nonlinear Gaussian SS Models
 CConditionalGaussianAdditiveNoiseAbstract Class representing all Conditional Gaussians with additive gaussian noise
 CGaussianClass representing Gaussian (or normal density)
 CUniformClass representing uniform density
 CPdf< MeasVar >
 CConditionalPdf< MeasVar, StateVar >
 CPdf< StateVar >
 CConditionalPdf< StateVar, StateVar >
 CPdf< Var >
 CConditionalPdf< Var, CondArg >Abstract Class representing conditional Pdfs P(x | ...)
 CProbabilityClass representing a probability (a double between 0 and 1)
 CProbabilityClass representing a probability (a double between 0 and 1)
 CRowVector_WrapperClass RowVectorWrapper
 CRowVector_WrapperClass RowVectorWrapper
 CSample< T >
 CWeightedSample< T >
 CWeightedSample< T >
 CWeightedSample< T >
 CWeightedSample< T >
 CWeightedSample< T >
 CSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CSample< StateVar >
 CWeightedSample< StateVar >
 CWeightedSample< StateVar >
 CWeightedSample< StateVar >
 CWeightedSample< StateVar >
 CWeightedSample< StateVar >
 CSymmetricMatrix_WrapperClass SymmetricMatrixWrapper
 CSymmetricMatrix_WrapperClass SymmetricMatrixWrapper
 CSystemModel< T >
 CSystemModel< int >
 CDiscreteSystemModelClass for discrete System Models
 CSystemModel< MatrixWrapper::ColumnVector >
 CAnalyticSystemModelGaussianUncertaintyClass for analytic system models with additive Gauss. uncertainty
 CLinearAnalyticSystemModelGaussianUncertaintyClass for linear analytic systemmodels with additive gaussian noise
 CNonLinearAnalyticSystemModelGaussianUncertainty_GinacClass for nonlinear analytic systemmodels with additive gaussian noise