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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>
70
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>
87</table>
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;
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