Bayes++ Bayesian Filtering Classes  Release 2014.5 - Copyright (c) 2003,2004,2005,2006,2011,2012,2014 Michael Stevens
Classes | Typedefs
Bayesian_filter Namespace Reference

Classes

class  Filter_exception
 
class  Logic_exception
 
class  Numeric_exception
 
class  Bayes_base
 
class  Numerical_rcond
 
class  Predict_model_base
 
class  Sampled_predict_model
 
class  Functional_predict_model
 
class  Gaussian_predict_model
 
class  Additive_predict_model
 
class  Linrz_predict_model
 
class  Linear_predict_model
 
class  Linear_invertable_predict_model
 
class  Observe_model_base
 
class  Observe_function
 
class  Likelihood_observe_model
 
class  Functional_observe_model
 
class  Parametised_observe_model
 
class  Uncorrelated_additive_observe_model
 
class  Correlated_additive_observe_model
 
class  Jacobian_observe_model
 
class  Linrz_correlated_observe_model
 
class  Linrz_uncorrelated_observe_model
 
class  Linear_correlated_observe_model
 
class  Linear_uncorrelated_observe_model
 
class  Bayes_filter_base
 
class  Likelihood_filter
 
class  Functional_filter
 
class  State_filter
 
class  Kalman_state_filter
 
class  Information_state_filter
 
class  Linrz_filter
 
class  Linrz_kalman_filter
 
class  Extended_kalman_filter
 
class  Sample_state_filter
 
class  Sample_filter
 
class  CI_scheme
 
class  Covariance_scheme
 
class  Information_scheme
 
class  Information_root_scheme
 
class  Information_root_info_scheme
 
class  Iterated_observe_model
 
class  Iterated_terminator
 
class  Counted_iterated_terminator
 
class  Iterated_covariance_scheme
 
class  Simple_additive_predict_model
 
class  Simple_linrz_predict_model
 
class  Simple_linear_predict_model
 
class  Simple_linrz_correlated_observe_model
 
class  Simple_linrz_uncorrelated_observe_model
 
class  Simple_linear_correlated_observe_model
 
class  Simple_linear_uncorrelated_observe_model
 
class  Adapted_Correlated_additive_observe_model
 
class  Adapted_Linrz_correlated_observe_model
 
class  General_LzUnAd_observe_model
 
class  General_LiUnAd_observe_model
 
class  General_LzCoAd_observe_model
 
class  General_LiCoAd_observe_model
 
struct  Filter_scheme
 
struct  Filter_scheme< UD_scheme >
 
struct  Filter_scheme< Information_scheme >
 
struct  Filter_scheme< Information_root_info_scheme >
 
struct  Filter_scheme< SIR_scheme >
 
struct  Filter_scheme< SIR_kalman_scheme >
 
struct  SIR_random
 
class  Importance_resampler
 
class  Standard_resampler
 
class  Systematic_resampler
 
class  Sampled_general_predict_model
 
class  SIR_scheme
 
class  SIR_kalman_scheme
 
class  UD_sequential_observe_model
 
class  UD_scheme
 
class  Unscented_predict_model
 
class  Unscented_scheme
 
class  Average1_filter
 
class  Indirect_state_filter
 
class  Indirect_kalman_filter
 

Typedefs

typedef boost::function1
< const FM::Vec &, const
FM::Vec & > 
State_function
 
typedef
Sampled_general_predict_model
< Linear_predict_model
Sampled_LiAd_predict_model
 
typedef
Sampled_general_predict_model
< Linear_invertable_predict_model
Sampled_LiInAd_predict_model
 

Typedef Documentation

typedef boost::function1<const FM::Vec&, const FM::Vec&> Bayesian_filter::State_function