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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\subsection*{Classes}
18\begin{CompactItemize}
19\item 
20class {\bf PF}
21\begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item 
22class {\bf MPF$<$ BM\_\-T $>$}
23\begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item 
24class \textbf{MPF$<$ BM\_\-T $>$::mpfepdf}
25\begin{CompactList}\small\item\em internal class for MPDF providing composition of \doxyref{eEmp}{p.}{classeEmp} with external components \item\end{CompactList}\end{CompactItemize}
26\subsection*{Variables}
27\begin{CompactItemize}
28\item 
29double \textbf{PF\_\-SSAT}\label{libPF_8h_718eb6f36f33fd5898956fb950d0d8f2}
30
31\end{CompactItemize}
32
33
34\subsection{Detailed Description}
35Bayesian Filtering using stochastic sampling (Particle Filters).
36
37\begin{Desc}
38\item[Author:]Vaclav Smidl.\end{Desc}
39----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
40
41Using IT++ for numerical operations -----------------------------------
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