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1 | \hypertarget{ekf__obj_8h}{ |
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2 | \section{ekf\_\-obj.h File Reference} |
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3 | \label{ekf__obj_8h}\index{ekf\_\-obj.h@{ekf\_\-obj.h}} |
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4 | } |
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5 | Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
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6 | |
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7 | {\tt \#include $<$estim/libKF.h$>$}\par |
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8 | {\tt \#include \char`\"{}fixed.h\char`\"{}}\par |
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9 | {\tt \#include \char`\"{}matrix.h\char`\"{}}\par |
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10 | {\tt \#include \char`\"{}reference.h\char`\"{}}\par |
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11 | {\tt \#include \char`\"{}parametry\_\-motoru.h\char`\"{}}\par |
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12 | |
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13 | |
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14 | Include dependency graph for ekf\_\-obj.h:\nopagebreak |
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15 | \begin{figure}[H] |
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16 | \begin{center} |
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17 | \leavevmode |
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18 | \includegraphics[width=288pt]{ekf__obj_8h__incl} |
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19 | \end{center} |
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20 | \end{figure} |
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21 | \subsection*{Classes} |
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22 | \begin{CompactItemize} |
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23 | \item |
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24 | class \hyperlink{classEKFfixed}{EKFfixed} |
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25 | \begin{CompactList}\small\item\em Extended Kalman Filter with full matrices in fixed point arithmetic. \item\end{CompactList}\end{CompactItemize} |
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26 | \subsection*{Functions} |
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27 | \begin{CompactItemize} |
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28 | \item |
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29 | \hypertarget{ekf__obj_8h_20a104802ddcb544b8de3fe3e5e03253}{ |
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30 | double \textbf{minQ} (double Q)} |
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31 | \label{ekf__obj_8h_20a104802ddcb544b8de3fe3e5e03253} |
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32 | |
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33 | \end{CompactItemize} |
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34 | |
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35 | |
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36 | \subsection{Detailed Description} |
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37 | Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
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38 | |
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39 | \begin{Desc} |
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40 | \item[Author:]Vaclav Smidl.\end{Desc} |
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41 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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42 | |
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43 | Using IT++ for numerical operations ----------------------------------- |
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