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[172] | 1 | \hypertarget{ekf__templ_8h}{ |
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[145] | 2 | \section{work/git/mixpp/bdm/estim/ekf\_\-templ.h File Reference} |
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| 3 | \label{ekf__templ_8h}\index{work/git/mixpp/bdm/estim/ekf\_\-templ.h@{work/git/mixpp/bdm/estim/ekf\_\-templ.h}} |
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[172] | 4 | } |
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[255] | 5 | Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
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[140] | 6 | |
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| 7 | {\tt \#include \char`\"{}libKF.h\char`\"{}}\par |
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| 8 | |
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| 9 | |
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| 10 | Include dependency graph for ekf\_\-templ.h:\nopagebreak |
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| 11 | \begin{figure}[H] |
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| 12 | \begin{center} |
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| 13 | \leavevmode |
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[181] | 14 | \includegraphics[width=182pt]{ekf__templ_8h__incl} |
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[140] | 15 | \end{center} |
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| 16 | \end{figure} |
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| 17 | |
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| 18 | |
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| 19 | This graph shows which files directly or indirectly include this file:\nopagebreak |
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| 20 | \begin{figure}[H] |
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| 21 | \begin{center} |
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| 22 | \leavevmode |
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[234] | 23 | \includegraphics[width=420pt]{ekf__templ_8h__dep__incl} |
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[140] | 24 | \end{center} |
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| 25 | \end{figure} |
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[255] | 26 | \subsection*{Namespaces} |
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| 27 | \begin{CompactItemize} |
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| 28 | \item |
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| 29 | namespace \textbf{bdm} |
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| 30 | \end{CompactItemize} |
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[140] | 31 | \subsection*{Classes} |
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| 32 | \begin{CompactItemize} |
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| 33 | \item |
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[255] | 34 | class \hyperlink{classbdm_1_1EKFful__unQR}{bdm::EKFful\_\-unQR} |
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| 35 | \begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter with unknown {\tt Q} and {\tt R}. \item\end{CompactList}\item |
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| 36 | class \hyperlink{classbdm_1_1EKFCh__unQ}{bdm::EKFCh\_\-unQ} |
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| 37 | \begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter in Choleski form with unknown {\tt Q}. \item\end{CompactList}\item |
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| 38 | class \hyperlink{classbdm_1_1EKFCh__cond}{bdm::EKFCh\_\-cond} |
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| 39 | \begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter with unknown parameters in {\tt IM}. \item\end{CompactList}\end{CompactItemize} |
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[140] | 40 | |
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| 41 | |
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| 42 | \subsection{Detailed Description} |
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[255] | 43 | Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
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[140] | 44 | |
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| 45 | \begin{Desc} |
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| 46 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 47 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 48 | |
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| 49 | Using IT++ for numerical operations ----------------------------------- |
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