▼CBackwardFilter< StateVar > | Virtual Baseclass representing all bayesian backward filters |
CParticleSmoother< StateVar > | Class representing a particle backward filter |
▼CBackwardFilter< MatrixWrapper::ColumnVector > | |
CRauchTungStriebel | Class representing all Rauch-Tung-Striebel backward filters |
CColumnVector_Wrapper | Class ColumnVectorWrapper |
CColumnVector_Wrapper | Class 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 > | |
CEKParticleFilter | Particle filter using EKF for proposal step |
▼CFilter< int, MeasVar > | |
CHistogramFilter< MeasVar > | Class representing the histogram filter |
▼CFilter< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > | |
▼CKalmanFilter | Class representing the family of all Kalman Filters (EKF, IEKF, ...) |
CExtendedKalmanFilter | |
CIteratedExtendedKalmanFilter | |
CNonminimalKalmanFilter | |
CSRIteratedExtendedKalmanFilter | |
CInnovationCheck | Class implementing an innovationCheck used in IEKF |
CMatrix_Wrapper | Class Matrixwrapper |
CMatrix_Wrapper | Class Matrixwrapper |
CMeasurementModel< MeasVar, StateVar > | |
▼CMeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > | |
▼CAnalyticMeasurementModelGaussianUncertainty | |
▼CLinearAnalyticMeasurementModelGaussianUncertainty | Class for linear analytic measurementmodels with additive gaussian noise |
CLinearAnalyticMeasurementModelGaussianUncertainty_Implicit | Class for linear analytic measurementmodels with additive gaussian noise |
CNonLinearAnalyticMeasurementModelGaussianUncertainty_Ginac | Class 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 > | |
CDiscreteConditionalPdf | Class representing all FULLY Discrete Conditional PDF's |
CDiscretePdf | Class representing a PDF on a discrete variable |
▼CPdf< MatrixWrapper::ColumnVector > | |
▼CConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > | |
▼CConditionalGaussian | Abstract Class representing all Conditional gaussians |
▼CAnalyticConditionalGaussian | Abstract Class representing all FULL Analytical Conditional gaussians |
▼CAnalyticConditionalGaussianAdditiveNoise | Abstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise |
CLinearAnalyticConditionalGaussian | Linear Conditional Gaussian |
CNonLinearAnalyticConditionalGaussian_Ginac | Conditional Gaussian for an analytic nonlinear system using Ginac: |
▼CFilterProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter) |
CEKFProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter) |
COptimalImportanceDensity | Optimal importance density for Nonlinear Gaussian SS Models |
CConditionalGaussianAdditiveNoise | Abstract Class representing all Conditional Gaussians with additive gaussian noise |
CGaussian | Class representing Gaussian (or normal density) |
CUniform | Class 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 | ...) |
CProbability | Class representing a probability (a double between 0 and 1) |
CProbability | Class representing a probability (a double between 0 and 1) |
CRowVector_Wrapper | Class RowVectorWrapper |
CRowVector_Wrapper | Class 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_Wrapper | Class SymmetricMatrixWrapper |
CSymmetricMatrix_Wrapper | Class SymmetricMatrixWrapper |
CSystemModel< T > | |
▼CSystemModel< int > | |
CDiscreteSystemModel | Class for discrete System Models |
▼CSystemModel< MatrixWrapper::ColumnVector > | |
▼CAnalyticSystemModelGaussianUncertainty | Class for analytic system models with additive Gauss. uncertainty |
CLinearAnalyticSystemModelGaussianUncertainty | Class for linear analytic systemmodels with additive gaussian noise |
CNonLinearAnalyticSystemModelGaussianUncertainty_Ginac | Class for nonlinear analytic systemmodels with additive gaussian noise |