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3<title>mixpp: work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h File Reference</title>
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19<h1>work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h File Reference</h1>Bayesian Filtering for linear Gaussian models (<a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter) and extensions. <a href="#_details">More...</a>
20<p>
21<code>#include &lt;itpp/itbase.h&gt;</code><br>
22<code>#include &lt;<a class="el" href="libKF_8h-source.html">estim/libKF.h</a>&gt;</code><br>
23<code>#include &quot;fixed.h&quot;</code><br>
24<code>#include &quot;matrix.h&quot;</code><br>
25<code>#include &quot;reference.h&quot;</code><br>
26<code>#include &quot;parametry_motoru.h&quot;</code><br>
27
28<p>
29<div class="dynheader">
30Include dependency graph for ekf_obj.h:</div>
31<div class="dynsection">
32<p><center><img src="ekf__obj_8h__incl.png" border="0" usemap="#work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h_map" alt=""></center>
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34<area shape="rect" href="libKF_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="203,81,299,105"><area shape="rect" href="fixed_8h&#45;source.html" title="fixed.h" alt="" coords="323,81,381,105"><area shape="rect" href="matrix_8h&#45;source.html" title="matrix.h" alt="" coords="405,81,472,105"><area shape="rect" href="reference_8h&#45;source.html" title="reference.h" alt="" coords="496,81,581,105"><area shape="rect" href="parametry__motoru_8h&#45;source.html" title="parametry_motoru.h" alt="" coords="605,81,741,105"><area shape="rect" href="libFN_8h&#45;source.html" title="../stat/libFN.h" alt="" coords="332,156,431,180"><area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="201,156,300,180"><area shape="rect" href="chmat_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="51,156,163,180"><area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="349,231,413,255"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="168,231,275,255"><area shape="rect" href="itpp__ext_8h&#45;source.html" title="../itpp_ext.h" alt="" coords="53,231,144,255"></map>
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36
37<p>
38<a href="ekf__obj_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
39<tr><td></td></tr>
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="classEKFfixed.html">EKFfixed</a></td></tr>
42
43<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices.  <a href="classEKFfixed.html#_details">More...</a><br></td></tr>
44<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
45<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="20a104802ddcb544b8de3fe3e5e03253"></a><!-- doxytag: member="ekf_obj.h::minQ" ref="20a104802ddcb544b8de3fe3e5e03253" args="(double Q)" -->
46double&nbsp;</td><td class="memItemRight" valign="bottom"><b>minQ</b> (double Q)</td></tr>
47
48</table>
49<hr><a name="_details"></a><h2>Detailed Description</h2>
50Bayesian Filtering for linear Gaussian models (<a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter) and extensions.
51<p>
52<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
53----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
54Using IT++ for numerical operations ----------------------------------- </div>
55<hr size="1"><address style="text-align: right;"><small>Generated on Fri May 9 16:15:22 2008 for mixpp by&nbsp;
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