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[172]1\hypertarget{ekf__templ_8h}{
[261]2\section{ekf\_\-templ.h File Reference}
3\label{ekf__templ_8h}\index{ekf\_\-templ.h@{ekf\_\-templ.h}}
[172]4}
[270]5
6
7\subsection{Detailed Description}
[255]8Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.
[140]9
[270]10\begin{Desc}
11\item[Author:]Vaclav Smidl.\end{Desc}
12----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
[140]13
[270]14Using IT++ for numerical operations -----------------------------------
[140]15
[270]16{\tt \#include \char`\"{}libKF.h\char`\"{}}\par
[255]17\subsection*{Namespaces}
18\begin{CompactItemize}
19\item 
[271]20namespace \textbf{bdm}
[255]21\end{CompactItemize}
[140]22\subsection*{Classes}
23\begin{CompactItemize}
24\item 
[255]25class \hyperlink{classbdm_1_1EKFful__unQR}{bdm::EKFful\_\-unQR}
26\begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter with unknown {\tt Q} and {\tt R}. \item\end{CompactList}\item 
27class \hyperlink{classbdm_1_1EKFCh__unQ}{bdm::EKFCh\_\-unQ}
28\begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter in Choleski form with unknown {\tt Q}. \item\end{CompactList}\item 
29class \hyperlink{classbdm_1_1EKFCh__cond}{bdm::EKFCh\_\-cond}
30\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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