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[mrpt-bayes]

Detailed Description

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Library mrpt-bayes


Here there are two main family of algorithms:

See all classes in the namespace: mrpt::bayes

Note: As of MRPT 0.9.1, the particle filter stuff is actually implemented in the lib mrpt-base, but users are encouraged to depend on mrpt-bayes since it implies mrpt-base, and in the future it's desirable to have all mrpt::bayes classes in this lib.

Collaboration diagram for [mrpt-bayes]:

Classes

struct  mrpt::bayes::TKF_options
 Generic options for the Kalman Filter algorithm in itself. More...
class  mrpt::bayes::CKalmanFilterCapable
 Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. More...
class  mrpt::bayes::CRejectionSamplingCapable
 A base class for implementing rejection sampling in a generic state space. More...

Namespaces

namespace  mrpt::bayes
 

The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms.


Enumerations

enum  mrpt::bayes::TKFMethod { mrpt::bayes::kfEKFNaive = 0, mrpt::bayes::kfEKFAlaDavison, mrpt::bayes::kfIKFFull, mrpt::bayes::kfIKF }
 The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: http://www.mrpt.org/Kalman_Filters. More...

Enumeration Type Documentation

The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: http://www.mrpt.org/Kalman_Filters.

See also:
bayes::CKalmanFilterCapable::KF_options
Enumerator:
kfEKFNaive 
kfEKFAlaDavison 
kfIKFFull 
kfIKF 

Definition at line 62 of file CKalmanFilterCapable.h.




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