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21<h1>ekf_templ.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. <a href="#_details">More...</a>
22<p>
23<code>#include &quot;<a class="el" href="libKF_8h-source.html">libKF.h</a>&quot;</code><br>
24
25<p>
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27Include dependency graph for ekf_templ.h:</div>
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29<p><center><img src="ekf__templ_8h__incl.png" border="0" usemap="#ekf_templ.h_map" alt=""></center>
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33
34<p>
35<a href="ekf__templ_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
36<tr><td></td></tr>
37<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
38<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html">bdm</a></td></tr>
39
40<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
41<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>
42
43<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">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>
44<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__unQ.html">bdm::EKFCh_unQ</a></td></tr>
45
46<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classbdm_1_1EKFCh__unQ.html#_details">More...</a><br></td></tr>
47<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>
48
49<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classbdm_1_1EKFCh__cond.html#_details">More...</a><br></td></tr>
50</table>
51<hr><a name="_details"></a><h2>Detailed Description</h2>
52Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.
53<p>
54<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
55----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
56Using IT++ for numerical operations ----------------------------------- </div>
57<hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 15:29:46 2009 for mixpp by&nbsp;
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