\section{work/mixpp/bdm/estim/libPF.h File Reference}
\label{libPF_8h}\index{work/mixpp/bdm/estim/libPF.h@{work/mixpp/bdm/estim/libPF.h}}
Bayesian Filtering using stochastic sampling (Particle Filters). 

{\tt \#include $<$itpp/itbase.h$>$}\par
{\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par
{\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par


Include dependency graph for libPF.h:\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=182pt]{libPF_8h__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{CompactItemize}
\item 
class {\bf PF}
\begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item 
class {\bf MPF$<$ BM\_\-T $>$}
\begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item 
class \textbf{MPF$<$ BM\_\-T $>$::mpfepdf}
\begin{CompactList}\small\item\em internal class for MPDF providing composition of \doxyref{eEmp}{p.}{classeEmp} with external components \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Bayesian Filtering using stochastic sampling (Particle Filters). 

\begin{Desc}
\item[Author:]Vaclav Smidl.\end{Desc}
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations ----------------------------------- 