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20<h1>work/git/mixpp/bdm/estim/ekf_templ.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. <a href="#_details">More...</a>
21<p>
22<code>#include &quot;<a class="el" href="libKF_8h-source.html">libKF.h</a>&quot;</code><br>
23
24<p>
25<div class="dynheader">
26Include dependency graph for ekf_templ.h:</div>
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28<p><center><img src="ekf__templ_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/ekf_templ.h_map" alt=""></center>
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39<area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="5,84,221,111"><area shape="rect" href="mpf__load_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="245,84,493,111"><area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="517,84,763,111"><area shape="rect" href="mpf__u__delta__real_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="787,84,1085,111"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="1109,84,1368,111"></map>
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41
42<p>
43<a href="ekf__templ_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
44<tr><td></td></tr>
45<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
46<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm</b></td></tr>
47
48<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
49<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>
50
51<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>
52<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>
53
54<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>
55<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>
56
57<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>
58</table>
59<hr><a name="_details"></a><h2>Detailed Description</h2>
60Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.
61<p>
62<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
63----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
64Using IT++ for numerical operations ----------------------------------- </div>
65<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:29:54 2009 for mixpp by&nbsp;
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