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1\section{work/mixpp/bdm/estim/libPF.h File Reference}
2\label{libPF_8h}\index{work/mixpp/bdm/estim/libPF.h@{work/mixpp/bdm/estim/libPF.h}}
3Bayesian Filtering using stochastic sampling (Particle Filters).
4
5{\tt \#include $<$itpp/itbase.h$>$}\par
6{\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par
7{\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par
8
9
10Include dependency graph for libPF.h:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
14\includegraphics[width=174pt]{libPF_8h__incl}
15\end{center}
16\end{figure}
17
18
19This graph shows which files directly or indirectly include this file:\nopagebreak
20\begin{figure}[H]
21\begin{center}
22\leavevmode
23\includegraphics[width=97pt]{libPF_8h__dep__incl}
24\end{center}
25\end{figure}
26\subsection*{Classes}
27\begin{CompactItemize}
28\item 
29class {\bf PF}
30\begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item 
31class {\bf MPF$<$ BM\_\-T $>$}
32\begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item 
33class \textbf{MPF$<$ BM\_\-T $>$::mpfepdf}
34\begin{CompactList}\small\item\em internal class for MPDF providing composition of \doxyref{eEmp}{p.}{classeEmp} with external components \item\end{CompactList}\end{CompactItemize}
35\subsection*{Variables}
36\begin{CompactItemize}
37\item 
38double \textbf{PF\_\-SSAT}\label{libPF_8h_718eb6f36f33fd5898956fb950d0d8f2}
39
40\end{CompactItemize}
41
42
43\subsection{Detailed Description}
44Bayesian Filtering using stochastic sampling (Particle Filters).
45
46\begin{Desc}
47\item[Author:]Vaclav Smidl.\end{Desc}
48----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
49
50Using IT++ for numerical operations -----------------------------------
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