Bayesian_filter::Information_scheme Class Reference

#include <infFlt.hpp>

Inheritance diagram for Bayesian_filter::Information_scheme:

Bayesian_filter::Extended_kalman_filter Bayesian_filter::Information_state_filter Bayesian_filter::Linrz_kalman_filter Bayesian_filter::Bayes_filter_base Bayesian_filter::Linrz_filter Bayesian_filter::Kalman_state_filter Bayesian_filter::Bayes_base Bayesian_filter::Bayes_filter_base Bayesian_filter::State_filter Bayesian_filter::Bayes_base Bayesian_filter::Bayes_filter_base Bayesian_filter::Bayes_base Bayesian_filter::Filter_scheme< Information_scheme > List of all members.

Public Member Functions

 Information_scheme (std::size_t x_size, std::size_t z_initialsize=0)
Information_schemeoperator= (const Information_scheme &)
void init ()
void update ()
void init_yY ()
void update_yY ()
Float predict (Linear_invertable_predict_model &f, Linear_predict_byproducts &b)
Float predict (Linear_invertable_predict_model &f)
Float predict (Linrz_predict_model &f)
Float observe_innovation (Linrz_uncorrelated_observe_model &h, const FM::Vec &s)
Float observe_innovation (Linrz_correlated_observe_model &h, const FM::Vec &s)

Protected Member Functions

void observe_size (std::size_t z_size)

Protected Attributes

bool update_required
FM::RowMatrix tempX
FM::Vec i
FM::SymMatrix I
FM::SymMatrix ZI
std::size_t last_z_size

Classes

struct  Linear_predict_byproducts

Constructor & Destructor Documentation

Bayesian_filter::Information_scheme::Information_scheme std::size_t  x_size,
std::size_t  z_initialsize = 0
 


Member Function Documentation

void Bayesian_filter::Information_scheme::init  )  [virtual]
 

Implements Bayesian_filter::Kalman_state_filter.

void Bayesian_filter::Information_scheme::init_yY  )  [virtual]
 

Implements Bayesian_filter::Information_state_filter.

Bayes_base::Float Bayesian_filter::Information_scheme::observe_innovation Linrz_correlated_observe_model h,
const FM::Vec s
[virtual]
 

Implements Bayesian_filter::Extended_kalman_filter.

Bayes_base::Float Bayesian_filter::Information_scheme::observe_innovation Linrz_uncorrelated_observe_model h,
const FM::Vec s
[virtual]
 

Implements Bayesian_filter::Extended_kalman_filter.

void Bayesian_filter::Information_scheme::observe_size std::size_t  z_size  )  [inline, protected]
 

Information_scheme & Bayesian_filter::Information_scheme::operator= const Information_scheme  ) 
 

Bayes_base::Float Bayesian_filter::Information_scheme::predict Linrz_predict_model f  )  [virtual]
 

Implements Bayesian_filter::Linrz_filter.

Float Bayesian_filter::Information_scheme::predict Linear_invertable_predict_model f  )  [inline]
 

Float Bayesian_filter::Information_scheme::predict Linear_invertable_predict_model f,
Linear_predict_byproducts b
 

void Bayesian_filter::Information_scheme::update  )  [virtual]
 

Implements Bayesian_filter::Kalman_state_filter.

void Bayesian_filter::Information_scheme::update_yY  )  [virtual]
 

Implements Bayesian_filter::Information_state_filter.


Member Data Documentation

FM::SymMatrix Bayesian_filter::Information_scheme::I [protected]
 

FM::Vec Bayesian_filter::Information_scheme::i [protected]
 

std::size_t Bayesian_filter::Information_scheme::last_z_size [protected]
 

FM::RowMatrix Bayesian_filter::Information_scheme::tempX [protected]
 

bool Bayesian_filter::Information_scheme::update_required [protected]
 

FM::SymMatrix Bayesian_filter::Information_scheme::ZI [protected]
 


The documentation for this class was generated from the following files:
Generated on Wed Oct 4 22:57:24 2006 for Bayes++ Bayesian Filtering Classes by  doxygen 1.4.6