1 | \section{PF Class Reference} |
---|
2 | \label{classPF}\index{PF@{PF}} |
---|
3 | A Particle Filter prototype. |
---|
4 | |
---|
5 | |
---|
6 | {\tt \#include $<$libPF.h$>$} |
---|
7 | |
---|
8 | Inheritance diagram for PF:\nopagebreak |
---|
9 | \begin{figure}[H] |
---|
10 | \begin{center} |
---|
11 | \leavevmode |
---|
12 | \includegraphics[width=49pt]{classPF__inherit__graph} |
---|
13 | \end{center} |
---|
14 | \end{figure} |
---|
15 | Collaboration diagram for PF:\nopagebreak |
---|
16 | \begin{figure}[H] |
---|
17 | \begin{center} |
---|
18 | \leavevmode |
---|
19 | \includegraphics[width=38pt]{classPF__coll__graph} |
---|
20 | \end{center} |
---|
21 | \end{figure} |
---|
22 | \subsection*{Public Member Functions} |
---|
23 | \begin{CompactItemize} |
---|
24 | \item |
---|
25 | ivec {\bf resample} (RESAMPLING\_\-METHOD method=SYSTEMATIC)\label{classPF_a0e26b2f6a5884aca49122f3e4f0cf19} |
---|
26 | |
---|
27 | \begin{CompactList}\small\item\em Returns indexes of particles that should be resampled. The ordering MUST guarantee inplace replacement. (Important for MPF.). \item\end{CompactList}\item |
---|
28 | \textbf{PF} (vec w)\label{classPF_c37f95f0c1661c7f1e3fccb31d39de73} |
---|
29 | |
---|
30 | \item |
---|
31 | void {\bf bayes} (const vec \&dt, bool evell) |
---|
32 | \begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\end{CompactItemize} |
---|
33 | \subsection*{Protected Attributes} |
---|
34 | \begin{CompactItemize} |
---|
35 | \item |
---|
36 | int \textbf{n}\label{classPF_2c2f44ed7a4eaa42e07bdb58d503f280} |
---|
37 | |
---|
38 | \item |
---|
39 | vec \textbf{w}\label{classPF_f6bc92f7979af4513b06b161497ba868} |
---|
40 | |
---|
41 | \item |
---|
42 | Uniform\_\-RNG \textbf{URNG}\label{classPF_3568ca7c3b3175d98b548f496b4c34dd} |
---|
43 | |
---|
44 | \end{CompactItemize} |
---|
45 | |
---|
46 | |
---|
47 | \subsection{Detailed Description} |
---|
48 | A Particle Filter prototype. |
---|
49 | |
---|
50 | Bayesian Filtering equations hold. |
---|
51 | |
---|
52 | \subsection{Member Function Documentation} |
---|
53 | \index{PF@{PF}!bayes@{bayes}} |
---|
54 | \index{bayes@{bayes}!PF@{PF}} |
---|
55 | \subsubsection{\setlength{\rightskip}{0pt plus 5cm}void PF::bayes (const vec \& {\em dt}, bool {\em evall})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classPF_eb06bd7d4325f22f54233967295793b9} |
---|
56 | |
---|
57 | |
---|
58 | Incremental Bayes rule. |
---|
59 | |
---|
60 | \begin{Desc} |
---|
61 | \item[Parameters:] |
---|
62 | \begin{description} |
---|
63 | \item[{\em dt}]vector of input data \item[{\em evall}]If true, the filter will compute likelihood of the data record and store it in {\tt ll} \end{description} |
---|
64 | \end{Desc} |
---|
65 | |
---|
66 | |
---|
67 | Implements {\bf BM} \doxyref{}{p.}{classBM_c52edf4ad6e1dff9bf64b9e1e0cfb1f0}. |
---|
68 | |
---|
69 | Reimplemented in {\bf TrivialPF} \doxyref{}{p.}{classTrivialPF_77a92bf054d763f806d27fc37a058389}. |
---|
70 | |
---|
71 | The documentation for this class was generated from the following files:\begin{CompactItemize} |
---|
72 | \item |
---|
73 | work/mixpp/bdm/estim/{\bf libPF.h}\item |
---|
74 | work/mixpp/bdm/estim/libPF.cpp\end{CompactItemize} |
---|