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
 CBoostColumnVector
 CColumnVectorWrapper class for ColumnVectors (Boost implementation)
 CColumnVectorWrapper class for ColumnVectors (Boost implementation)
 CBoostMatrix
 CMatrixImplementation of Matrixwrapper using Boost
 CMatrixImplementation of Matrixwrapper using Boost
 CBoostRowVector
 CRowVectorWrapper class for RowVectors (Boost implementation)
 CRowVectorWrapper class for RowVectors (Boost implementation)
 CBoostSymmetricMatrix
 CSymmetricMatrix
 CSymmetricMatrix
 CColumnVector_WrapperClass ColumnVectorWrapper
 CColumnVectorWrapper class for ColumnVectors (Boost implementation)
 CColumnVector_WrapperClass ColumnVectorWrapper
 CColumnVectorWrapper class for ColumnVectors (Boost implementation)
 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< BFL::MatrixWrapper::ColumnVector, BFL::MatrixWrapper::ColumnVector >
 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
 CMatrixImplementation of Matrixwrapper using Boost
 CMatrix_WrapperClass Matrixwrapper
 CMatrixImplementation of Matrixwrapper using Boost
 CMeasurementModel< MeasVar, StateVar >
 CMeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
 CAnalyticMeasurementModelGaussianUncertainty
 CLinearAnalyticMeasurementModelGaussianUncertaintyClass 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
 CMCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
 CMixture< T >Class representing a mixture of PDFs, the mixture can contain different
 CMCPdf< T >Monte Carlo Pdf: Sample based implementation of Pdf
 CMixture< T >Class representing a mixture of PDFs, the mixture can contain different
 CConditionalPdf< T, T >
 CPdf< T >Class PDF: Virtual Base class representing Probability Density Functions
 CPdf< BFL::MatrixWrapper::ColumnVector >
 CPdf< ColumnVector >
 CConditionalPdf< ColumnVector, ColumnVector >
 CPdf< int >
 CDiscretePdfClass representing a PDF on a discrete variable
 CDiscretePdfClass representing a PDF on a discrete variable
 CConditionalPdf< int, int >
 CDiscreteConditionalPdfClass representing all FULLY Discrete Conditional PDF's
 CPdf< MatrixWrapper::ColumnVector >
 CGaussianClass representing Gaussian (or normal density)
 CUniformClass representing uniform density
 CConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >
 CConditionalGaussianAbstract Class representing all Conditional gaussians
 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
 CRowVectorWrapper class for RowVectors (Boost implementation)
 CRowVector_WrapperClass RowVectorWrapper
 CRowVectorWrapper class for RowVectors (Boost implementation)
 CSample< T >
 CWeightedSample< T >
 CWeightedSample< T >
 CSample< T >
 CSample< ColumnVector >
 CWeightedSample< ColumnVector >
 CSample< StateVar >
 CWeightedSample< StateVar >
 CSymmetricMatrix_WrapperClass SymmetricMatrixWrapper
 CSymmetricMatrix
 CSymmetricMatrix_WrapperClass SymmetricMatrixWrapper
 CSymmetricMatrix
 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