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Revision 8, 1.2 kB
(checked in by smidl, 17 years ago)
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Kalmany funkci, PF nefunkci
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| [8] | 1 | \section{work/mixpp/libPF.h File Reference} |
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| 2 | \label{libPF_8h}\index{work/mixpp/libPF.h@{work/mixpp/libPF.h}} |
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| 3 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 4 | |
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| 5 | {\tt \#include $<$itpp/itbase.h$>$}\par |
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| 6 | {\tt \#include \char`\"{}libBM.h\char`\"{}}\par |
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| 7 | {\tt \#include \char`\"{}libDC.h\char`\"{}}\par |
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| 8 | \subsection*{Classes} |
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| 9 | \begin{CompactItemize} |
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| 10 | \item |
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| 11 | class {\bf PF} |
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| 12 | \begin{CompactList}\small\item\em A Particle Filter prototype. \item\end{CompactList}\item |
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| 13 | class {\bf TrivialPF} |
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| 14 | \begin{CompactList}\small\item\em Trivial particle filter with proposal density that is not conditioned on the data. \item\end{CompactList}\item |
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| 15 | class \textbf{MPF} |
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| 16 | \end{CompactItemize} |
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| 17 | \subsection*{Enumerations} |
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| 18 | \begin{CompactItemize} |
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| 19 | \item |
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| 20 | enum \textbf{RESAMPLING\_\-METHOD} \{ \textbf{MULTINOMIAL} = 0, |
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| 21 | \textbf{DETERMINISTIC} = 1, |
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| 22 | \textbf{RESIDUAL} = 2, |
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| 23 | \textbf{SYSTEMATIC} = 3 |
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| 24 | \} |
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| 25 | \end{CompactItemize} |
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| 26 | |
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| 27 | |
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| 28 | \subsection{Detailed Description} |
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| 29 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 30 | |
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| 31 | \begin{Desc} |
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| 32 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 33 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 34 | |
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| 35 | Using IT++ for numerical operations ----------------------------------- |
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