particlesmoother.h
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1 // $Id: particlesmoother.h 6736 2006-12-21 11:24:42Z tdelaet $
2 // Copyright (C) 2006 Tinne De Laet <first dot last at mech dot kuleuven dot be>
3 //
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31 
32 
33 // implementation based on "A smoothing filter for condensation", by Isard and
34 // Blake
35 // (http://www.springerlink.com/content/?k=a+smoothing+filter+for+condensation)
36 // The bacward stage version
37 // @bug still needs extra testing!
38 
39 #ifndef __PARTICLE_SMOOTHER__
40 #define __PARTICLE_SMOOTHER__
41 
42 #include "backwardfilter.h"
43 #include "../pdf/conditionalpdf.h"
44 #include "../pdf/mcpdf.h"
45 
46 namespace BFL
47 {
48 
50  template <typename StateVar> class ParticleSmoother
51  : public BackwardFilter<StateVar>
52  {
53  protected:
54  virtual bool UpdateInternal(SystemModel<StateVar>* const sysmodel,
55  const StateVar& u, Pdf<StateVar>* const filtered_post);
56 
57  virtual void SysUpdate(SystemModel<StateVar>* const sysmodel, const StateVar& u , Pdf<StateVar>* const filtered_post);
58 
60  vector<WeightedSample<StateVar> > _old_samples;
62  vector<WeightedSample<StateVar> > _new_samples;
64  vector<WeightedSample<StateVar> > _filtered_samples;
66  typename vector<WeightedSample<StateVar> >::iterator _os_it;
68  typename vector<WeightedSample<StateVar> >::iterator _ns_it;
70  typename vector<WeightedSample<StateVar> >::iterator _fs_it;
71 
72  public:
75 
77  virtual ~ParticleSmoother();
78 
79  };
80 #include "particlesmoother.cpp"
81 
82 } // End namespace BFL
83 
84 #endif // __PARTICLE_FILTER__
vector< WeightedSample< StateVar > >::iterator _ns_it
Iterator for new list of samples.
Class PDF: Virtual Base class representing Probability Density Functions.
Definition: pdf.h:53
vector< WeightedSample< StateVar > > _filtered_samples
While updating store list of filtered samples.
virtual bool UpdateInternal(SystemModel< StateVar > *const sysmodel, const StateVar &u, Pdf< StateVar > *const filtered_post)
Actual implementation of Update, varies along filters.
vector< WeightedSample< StateVar > >::iterator _os_it
Iterator for old list of samples.
Virtual Baseclass representing all bayesian backward filters.
vector< WeightedSample< StateVar > > _new_samples
While updating store list of new samples.
#define StateVar
Definition: asirfilter.h:22
virtual void SysUpdate(SystemModel< StateVar > *const sysmodel, const StateVar &u, Pdf< StateVar > *const filtered_post)
Class representing a particle backward filter.
virtual ~ParticleSmoother()
Destructor.
Monte Carlo Pdf: Sample based implementation of Pdf.
Definition: mcpdf.h:49
ParticleSmoother(MCPdf< StateVar > *prior)
Constructor.
vector< WeightedSample< StateVar > >::iterator _fs_it
Iterator for list of filtered samples.
vector< WeightedSample< StateVar > > _old_samples
While updating store list of old samples.


bfl
Author(s): Klaas Gadeyne, Wim Meeussen, Tinne Delaet and many others. See web page for a full contributor list. ROS package maintained by Wim Meeussen.
autogenerated on Mon Jun 10 2019 12:47:59