| ▼NBFL | |
| ►NBFL | |
| ►NMatrixWrapper | |
| CAnalyticConditionalGaussian | Abstract Class representing all FULL Analytical Conditional gaussians |
| CAnalyticConditionalGaussianAdditiveNoise | Abstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise |
| CAnalyticMeasurementModelGaussianUncertainty | |
| CAnalyticSystemModelGaussianUncertainty | Class for analytic system models with additive Gauss. uncertainty |
| CASIRFilter | ASIR: Auxiliary Particle Filter |
| CBackwardFilter | Virtual Baseclass representing all bayesian backward filters |
| CbflToolkitPlugin | |
| CBootstrapFilter | Particular particle filter : Proposal PDF = SystemPDF |
| CConditionalGaussian | Abstract Class representing all Conditional gaussians |
| CConditionalGaussianAdditiveNoise | Abstract Class representing all Conditional Gaussians with additive gaussian noise |
| CConditionalPdf | Abstract Class representing conditional Pdfs P(x | ...) |
| CConditionalUniformMeasPdf1d | |
| CDiscreteConditionalPdf | Abstract Class representing all FULLY Discrete Conditional PDF's |
| CDiscretePdf | Class representing a PDF on a discrete variable |
| CDiscreteSystemModel | Class for discrete System Models |
| CEKFProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter) |
| CEKFTest | |
| CEKParticleFilter | Particle filter using EKF for proposal step |
| ►CExtendedKalmanFilter | |
| CFilter | Abstract class representing an interface for Bayesian Filters |
| CFilterProposalDensity | Proposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter) |
| CGaussian | Class representing Gaussian (or normal density) |
| Cget_size | |
| CHistogramFilter | Class representing the histogram filter |
| CInnovationCheck | Class implementing an innovationCheck used in IEKF |
| ►CIteratedExtendedKalmanFilter | |
| ►CKalmanFilter | Class representing the family of all Kalman Filters (EKF, IEKF, ...) |
| CLinearAnalyticConditionalGaussian | Linear Conditional Gaussian |
| CLinearAnalyticMeasurementModelGaussianUncertainty | Class for linear analytic measurementmodels with additive gaussian noise |
| CLinearAnalyticMeasurementModelGaussianUncertainty_Implicit | Class for linear analytic measurementmodels with additive gaussian noise |
| CLinearAnalyticSystemModelGaussianUncertainty | Class for linear analytic systemmodels with additive gaussian noise |
| Cmatrix_i_j_constructor | |
| Cmatrix_index | |
| CMatrixAssignChecker | |
| CMatrixIndexChecker | |
| CMatrixTypeInfo | |
| CMCPdf | Monte Carlo Pdf: Sample based implementation of Pdf |
| CMeasurementModel | |
| CMixture | Class representing a mixture of PDFs, the mixture can contain different |
| CMixtureBootstrapFilter | Particular mixture particle filter : Proposal PDF = SystemPDF |
| CMixtureParticleFilter | Virtual Class representing all Mixture particle filters |
| CMobileRobot | This is a class simulating a mobile robot |
| CNonLinearAnalyticConditionalGaussian_Ginac | Conditional Gaussian for an analytic nonlinear system using Ginac: |
| CNonLinearAnalyticConditionalGaussianMobile | Non Linear Conditional Gaussian |
| CNonLinearAnalyticMeasurementModelGaussianUncertainty_Ginac | Class for nonlinear analytic measurementmodels with additive gaussian noise |
| CNonLinearAnalyticSystemModelGaussianUncertainty_Ginac | Class for nonlinear analytic systemmodels with additive gaussian noise |
| CNonlinearMeasurementPdf | Non Linear Conditional Gaussian |
| CNonlinearSystemPdf | Non Linear Conditional Gaussian |
| CNonminimalKalmanFilter | |
| COptimalImportanceDensity | Optimal importance density for Nonlinear Gaussian SS Models |
| COptimalimportancefilter | Particular particle filter: Proposal PDF = Optimal Importance function |
| CParticleFilter | Virtual Class representing all particle filters |
| CParticleSmoother | Class representing a particle backward filter |
| CPdf | Class PDF: Virtual Base class representing Probability Density Functions |
| CProbability | Class representing a probability (a double between 0 and 1) |
| CProbability_ctor | |
| CProbabilityTypeInfo | |
| CRauchTungStriebel | Class representing all Rauch-Tung-Striebel backward filters |
| Crget_size | |
| Crvector_index | |
| Crvector_index_constructor | |
| CRVectorTypeInfo | |
| CSample | |
| CSample_ctor | |
| CSampleTypeInfo | |
| CSRIteratedExtendedKalmanFilter | |
| CsymmetricMatrix_index_constructor | |
| CSymmetricMatrixTypeInfo | |
| CSystemModel | |
| CUniform | Class representing uniform density |
| Cvector_index | |
| Cvector_index_constructor | |
| CVectorAssignChecker | |
| CVectorTypeInfo | |
| CWeightedSample | |
| CWeightedSample_ctor | |
| CWeightedSampleTypeInfo | |
| ▼NMatrixWrapper | |
| CColumnVector_Wrapper | Class ColumnVectorWrapper |
| CMatrix_Wrapper | Class Matrixwrapper |
| CRowVector_Wrapper | Class RowVectorWrapper |
| CSymmetricMatrix_Wrapper | Class SymmetricMatrixWrapper |
| CComplete_FilterTest | |
| CMatrixwrapperTest | |
| CModelTest | |
| CModelTestGinac | |
| CMyType | |
| CPdfTest | |
| CSampleTest | |
| CSmootherTest |