Namespaces |
namespace | BFL |
namespace | MatrixWrapper |
Classes |
class | AnalyticConditionalGaussian |
| Abstract Class representing all _FULL_ Analytical Conditional gaussians. More...
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class | AnalyticConditionalGaussianAdditiveNoise |
| Abstract Class representing all full Analytical Conditional gaussians with Additive Gaussian Noise. More...
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class | AnalyticMeasurementModelGaussianUncertainty |
class | AnalyticSystemModelGaussianUncertainty |
| Class for analytic system models with additive Gauss. uncertainty. More...
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class | ASIRFilter |
| ASIR: Auxiliary Particle Filter. More...
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class | BackwardFilter |
| Virtual Baseclass representing all bayesian backward filters. More...
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class | bflToolkitPlugin |
class | BootstrapFilter |
| Particular particle filter : Proposal PDF = SystemPDF. More...
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class | ConditionalGaussian |
| Abstract Class representing all Conditional gaussians. More...
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class | ConditionalGaussianAdditiveNoise |
| Abstract Class representing all Conditional Gaussians with additive gaussian noise. More...
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class | ConditionalPdf |
| Abstract Class representing conditional Pdfs P(x | ...) More...
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class | ConditionalUniformMeasPdf1d |
class | DiscreteConditionalPdf |
| Abstract Class representing all _FULLY_ Discrete Conditional PDF's. More...
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class | DiscretePdf |
| Class representing a PDF on a discrete variable. More...
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class | DiscreteSystemModel |
| Class for discrete System Models. More...
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class | EKFProposalDensity |
| Proposal Density for non-linear systems with additive Gaussian Noise (using a EKF Filter) More...
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class | EKFTest |
class | EKParticleFilter |
| Particle filter using EKF for proposal step. More...
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class | ExtendedKalmanFilter |
class | Filter |
| Abstract class representing an interface for Bayesian Filters. More...
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class | FilterProposalDensity |
| Proposal Density for non-linear systems with additive Gaussian Noise (using a (analytic) Filter) More...
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class | Gaussian |
| Class representing Gaussian (or normal density) More...
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struct | get_size |
class | HistogramFilter |
| Class representing the histogram filter. More...
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class | InnovationCheck |
| Class implementing an innovationCheck used in IEKF. More...
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class | IteratedExtendedKalmanFilter |
class | KalmanFilter |
| Class representing the family of all Kalman Filters (EKF, IEKF, ...) More...
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class | LinearAnalyticConditionalGaussian |
| Linear Conditional Gaussian. More...
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class | LinearAnalyticMeasurementModelGaussianUncertainty |
| Class for linear analytic measurementmodels with additive gaussian noise. More...
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class | LinearAnalyticMeasurementModelGaussianUncertainty_Implicit |
| Class for linear analytic measurementmodels with additive gaussian noise. More...
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class | LinearAnalyticSystemModelGaussianUncertainty |
| Class for linear analytic systemmodels with additive gaussian noise. More...
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struct | matrix_i_j_constructor |
struct | matrix_index |
struct | MatrixAssignChecker |
struct | MatrixIndexChecker |
struct | MatrixTypeInfo |
class | MCPdf |
| Monte Carlo Pdf: Sample based implementation of Pdf. More...
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class | MeasurementModel |
class | Mixture |
| Class representing a mixture of PDFs, the mixture can contain different. More...
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class | MixtureBootstrapFilter |
| Particular mixture particle filter : Proposal PDF = SystemPDF. More...
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class | MixtureParticleFilter |
| Virtual Class representing all Mixture particle filters. More...
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class | MobileRobot |
| This is a class simulating a mobile robot. More...
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class | NonLinearAnalyticConditionalGaussian_Ginac |
| Conditional Gaussian for an analytic nonlinear system using Ginac: More...
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class | NonLinearAnalyticConditionalGaussianMobile |
| Non Linear Conditional Gaussian. More...
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class | NonLinearAnalyticMeasurementModelGaussianUncertainty_Ginac |
| Class for nonlinear analytic measurementmodels with additive gaussian noise. More...
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class | NonLinearAnalyticSystemModelGaussianUncertainty_Ginac |
| Class for nonlinear analytic systemmodels with additive gaussian noise. More...
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class | NonlinearMeasurementPdf |
| Non Linear Conditional Gaussian. More...
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class | NonlinearSystemPdf |
| Non Linear Conditional Gaussian. More...
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class | NonminimalKalmanFilter |
class | OptimalImportanceDensity |
| Optimal importance density for Nonlinear Gaussian SS Models. More...
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class | Optimalimportancefilter |
| Particular particle filter: Proposal PDF = Optimal Importance function. More...
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class | ParticleFilter |
| Virtual Class representing all particle filters. More...
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class | ParticleSmoother |
| Class representing a particle backward filter. More...
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class | Pdf |
| Class PDF: Virtual Base class representing Probability Density Functions. More...
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class | Probability |
| Class representing a probability (a double between 0 and 1) More...
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struct | Probability_ctor |
struct | ProbabilityTypeInfo |
class | RauchTungStriebel |
| Class representing all Rauch-Tung-Striebel backward filters. More...
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struct | rget_size |
struct | rvector_index |
struct | rvector_index_constructor |
struct | RVectorTypeInfo |
class | Sample |
struct | Sample_ctor |
struct | SampleTypeInfo |
class | SRIteratedExtendedKalmanFilter |
struct | symmetricMatrix_index_constructor |
struct | SymmetricMatrixTypeInfo |
class | SystemModel |
class | Uniform |
| Class representing uniform density. More...
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struct | vector_index |
struct | vector_index_constructor |
struct | VectorAssignChecker |
struct | VectorTypeInfo |
class | WeightedSample |
struct | WeightedSample_ctor |
struct | WeightedSampleTypeInfo |
Functions |
template<class T > |
bool | composeProperty (const PropertyBag &bag, Sample< T > &sample) |
template<class T > |
bool | composeProperty (const PropertyBag &bag, WeightedSample< T > &weightedSample) |
template<class T > |
void | decomposeProperty (const Sample< T > &sample, PropertyBag &targetbag) |
template<class T > |
void | decomposeProperty (const WeightedSample< T > &weightedSample, PropertyBag &targetbag) |
std::ostream & | operator<< (std::ostream &os, const Uniform &u) |
ostream & | operator<< (ostream &stream, Probability &prob) |
std::ostream & | operator<< (std::ostream &os, const Gaussian &g) |
std::ostream & | operator<< (std::ostream &os, NonLinearAnalyticConditionalGaussian_Ginac &p) |
template<typename S > |
ostream & | operator<< (ostream &stream, WeightedSample< S > &mws) |
template<typename S > |
ostream & | operator<< (ostream &stream, Sample< S > &my_sample) |
istream & | operator>> (istream &stream, Probability &prob) |
template<typename S > |
istream & | operator>> (istream &stream, Sample< S > &my_sample) |
double | rnorm (const double &mu, const double &sigma) |
double | runif () |
double | runif (const double &min, const double &max) |
Variables |
bflToolkitPlugin | bflToolkit |