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1\hypertarget{ekf__templ_8h}{
2\section{ekf\_\-templ.h File Reference}
3\label{ekf__templ_8h}\index{ekf\_\-templ.h@{ekf\_\-templ.h}}
4}
5
6
7\subsection{Detailed Description}
8Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.
9
10\begin{Desc}
11\item[Author:]Vaclav Smidl.\end{Desc}
12----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
13
14Using IT++ for numerical operations -----------------------------------
15
16{\tt \#include \char`\"{}libKF.h\char`\"{}}\par
17\subsection*{Namespaces}
18\begin{CompactItemize}
19\item 
20namespace \textbf{bdm}
21\end{CompactItemize}
22\subsection*{Classes}
23\begin{CompactItemize}
24\item 
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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