| 1 | \hypertarget{libPF_8h}{ |
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| 2 | \section{work/git/mixpp/bdm/estim/libPF.h File Reference} |
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| 3 | \label{libPF_8h}\index{work/git/mixpp/bdm/estim/libPF.h@{work/git/mixpp/bdm/estim/libPF.h}} |
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| 4 | } |
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| 5 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 6 | |
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| 7 | {\tt \#include $<$itpp/itbase.h$>$}\par |
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| 8 | {\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par |
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| 9 | {\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par |
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| 10 | |
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| 11 | |
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| 12 | Include dependency graph for libPF.h:\nopagebreak |
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| 13 | \begin{figure}[H] |
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| 14 | \begin{center} |
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| 15 | \leavevmode |
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| 16 | \includegraphics[width=137pt]{libPF_8h__incl} |
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| 17 | \end{center} |
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| 18 | \end{figure} |
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| 19 | |
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| 20 | |
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| 21 | This graph shows which files directly or indirectly include this file:\nopagebreak |
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| 22 | \begin{figure}[H] |
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| 23 | \begin{center} |
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| 24 | \leavevmode |
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| 25 | \includegraphics[width=119pt]{libPF_8h__dep__incl} |
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| 26 | \end{center} |
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| 27 | \end{figure} |
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| 28 | \subsection*{Classes} |
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| 29 | \begin{CompactItemize} |
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| 30 | \item |
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| 31 | class \hyperlink{classPF}{PF} |
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| 32 | \begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item |
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| 33 | class \hyperlink{classMPF}{MPF$<$ BM\_\-T $>$} |
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| 34 | \begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item |
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| 35 | class \textbf{MPF$<$ BM\_\-T $>$::mpfepdf} |
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| 36 | \begin{CompactList}\small\item\em internal class for MPDF providing composition of \hyperlink{classeEmp}{eEmp} with external components \item\end{CompactList}\end{CompactItemize} |
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| 37 | \subsection*{Variables} |
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| 38 | \begin{CompactItemize} |
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| 39 | \item |
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| 40 | \hypertarget{libPF_8h_718eb6f36f33fd5898956fb950d0d8f2}{ |
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| 41 | double \textbf{PF\_\-SSAT}} |
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| 42 | \label{libPF_8h_718eb6f36f33fd5898956fb950d0d8f2} |
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| 43 | |
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| 44 | \end{CompactItemize} |
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| 45 | |
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| 46 | |
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| 47 | \subsection{Detailed Description} |
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| 48 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 49 | |
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| 50 | \begin{Desc} |
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| 51 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 52 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 53 | |
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| 54 | Using IT++ for numerical operations ----------------------------------- |
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