| ▼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 |
| ▼CFilter< StateVar, MeasVar > | Abstract class representing an interface for Bayesian Filters |
| ▼CParticleFilter< ColumnVector, ColumnVector > | |
| CEKParticleFilter | Particle filter using EKF for proposal step |
| ▼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 > | |
| ▼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 |
| 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< 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 |
| ▼CConditionalPdf< int, int > | |
| CDiscreteConditionalPdf | Class representing all FULLY Discrete Conditional PDF's |
| CConditionalPdf< ColumnVector, ColumnVector > | |
| CConditionalPdf< MeasVar, StateVar > | |
| CConditionalPdf< StateVar, StateVar > | |
| CConditionalPdf< T, T > | |
| 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 > | |
| ▼CPdf< int > | |
| CDiscretePdf | Class representing a PDF on a discrete variable |
| ▼CPdf< MatrixWrapper::ColumnVector > | |
| CGaussian | Class representing Gaussian (or normal density) |
| CUniform | Class representing uniform density |
| CPdf< MeasVar > | |
| CPdf< StateVar > | |
| ▼CPdf< Var > | |
| CConditionalPdf< Var, CondArg > | Abstract Class representing conditional Pdfs P(x | ...) |
| CProbability | Class representing a probability (a double between 0 and 1) |
| CRowVector_Wrapper | Class RowVectorWrapper |
| ▼CSample< T > | |
| CWeightedSample< ColumnVector > | |
| CWeightedSample< StateVar > | |
| CWeightedSample< T > | |
| CSample< ColumnVector > | |
| CSample< StateVar > | |
| 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 |
