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  • library/doc/html/ekf__template_8h.html

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    53<title>mixpp: ekf_template.h File Reference</title> 
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    6865<div class="contents"> 
    69 <h1>ekf_template.h File Reference</h1> 
    70 <p>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.   
    71 <a href="#_details">More...</a></p> 
    72 <code>#include &quot;<a class="el" href="kalman_8h_source.html">kalman.h</a>&quot;</code><br/> 
     66<h1>ekf_template.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.   
     67<a href="#_details">More...</a> 
     68<p> 
     69<code>#include &quot;<a class="el" href="kalman_8h_source.html">kalman.h</a>&quot;</code><br> 
    7370 
    74 <p><a href="ekf__template_8h_source.html">Go to the source code of this file.</a></p> 
    75 <table border="0" cellpadding="0" cellspacing="0"> 
    76 <tr><td colspan="2"><h2>Classes</h2></td></tr> 
    77 <tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFful__unQR.html">bdm::EKFful_unQR</a></td></tr> 
    78 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with unknown <code>Q</code> and <code>R</code>.  <a href="classbdm_1_1EKFful__unQR.html#_details">More...</a><br/></td></tr> 
    79 <tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__dQ.html">bdm::EKFCh_dQ</a></td></tr> 
    80 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in Choleski form with unknown diagonal <code>Q</code>.  <a href="classbdm_1_1EKFCh__dQ.html#_details">More...</a><br/></td></tr> 
    81 <tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__chQ.html">bdm::EKFCh_chQ</a></td></tr> 
    82 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classbdm_1_1EKFCh__chQ.html#_details">More...</a><br/></td></tr> 
    83 <tr><td class="memItemLeft" align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__cond.html">bdm::EKFCh_cond</a></td></tr> 
    84 <tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classbdm_1_1EKFCh__cond.html#_details">More...</a><br/></td></tr> 
     71<p> 
     72<a href="ekf__template_8h_source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> 
     73<tr><td></td></tr> 
     74<tr><td colspan="2"><br><h2>Classes</h2></td></tr> 
     75<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFful__unQR.html">bdm::EKFful_unQR</a></td></tr> 
     76 
     77<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with unknown <code>Q</code> and <code>R</code>.  <a href="classbdm_1_1EKFful__unQR.html#_details">More...</a><br></td></tr> 
     78<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__dQ.html">bdm::EKFCh_dQ</a></td></tr> 
     79 
     80<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in Choleski form with unknown diagonal <code>Q</code>.  <a href="classbdm_1_1EKFCh__dQ.html#_details">More...</a><br></td></tr> 
     81<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__chQ.html">bdm::EKFCh_chQ</a></td></tr> 
     82 
     83<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classbdm_1_1EKFCh__chQ.html#_details">More...</a><br></td></tr> 
     84<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__cond.html">bdm::EKFCh_cond</a></td></tr> 
     85 
     86<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classbdm_1_1EKFCh__cond.html#_details">More...</a><br></td></tr> 
    8587</table> 
    86 <hr/><a name="_details"></a><h2>Detailed Description</h2> 
    87 <p>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. </p> 
    88 <dl class="author"><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> 
    89 <p>----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty</p> 
    90 <p>Using IT++ for numerical operations ----------------------------------- </p> 
    91 </div> 
    92 <hr size="1"/><address style="text-align: right;"><small>Generated on Sun Sep 27 00:49:04 2009 for mixpp by&nbsp; 
     88<hr><h2>Detailed Description</h2> 
     89Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.  
     90<p> 
     91<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> 
     92----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 
     93Using IT++ for numerical operations ----------------------------------- </div> 
     94<hr size="1"><address style="text-align: right;"><small>Generated on Wed Oct 7 17:34:44 2009 for mixpp by&nbsp; 
    9395<a href="http://www.doxygen.org/index.html"> 
    94 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address> 
     96<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.9 </small></address> 
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