\hypertarget{ekf__templ_8h}{
\section{ekf\_\-templ.h File Reference}
\label{ekf__templ_8h}\index{ekf\_\-templ.h@{ekf\_\-templ.h}}
}
Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. 

{\tt \#include \char`\"{}libKF.h\char`\"{}}\par


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\subsection*{Namespaces}
\begin{CompactItemize}
\item 
namespace \hyperlink{namespacebdm}{bdm}
\end{CompactItemize}
\subsection*{Classes}
\begin{CompactItemize}
\item 
class \hyperlink{classbdm_1_1EKFful__unQR}{bdm::EKFful\_\-unQR}
\begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter with unknown {\tt Q} and {\tt R}. \item\end{CompactList}\item 
class \hyperlink{classbdm_1_1EKFCh__unQ}{bdm::EKFCh\_\-unQ}
\begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter in Choleski form with unknown {\tt Q}. \item\end{CompactList}\item 
class \hyperlink{classbdm_1_1EKFCh__cond}{bdm::EKFCh\_\-cond}
\begin{CompactList}\small\item\em Extended \hyperlink{classbdm_1_1Kalman}{Kalman} filter with unknown parameters in {\tt IM}. \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. 

\begin{Desc}
\item[Author:]Vaclav Smidl.\end{Desc}
----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty

Using IT++ for numerical operations -----------------------------------