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16<h1>work/mixpp/bdm/estim/libKF.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>
17<p>
18<code>#include &lt;itpp/itbase.h&gt;</code><br>
19<code>#include &quot;../stat/libFN.h&quot;</code><br>
20<code>#include &quot;<a class="el" href="libEF_8h-source.html">../stat/libEF.h</a>&quot;</code><br>
21<code>#include &quot;<a class="el" href="chmat_8h-source.html">../math/chmat.h</a>&quot;</code><br>
22
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25Include dependency graph for libKF.h:</div>
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34This graph shows which files directly or indirectly include this file:</div>
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40
41<p>
42<a href="libKF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
43<tr><td></td></tr>
44<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
45<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalmanFull.html">KalmanFull</a></td></tr>
46
47<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Basic <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon!  <a href="classKalmanFull.html#_details">More...</a><br></td></tr>
48<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html">Kalman&lt; sq_T &gt;</a></td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form.  <a href="classKalman.html#_details">More...</a><br></td></tr>
51<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalmanCh.html">KalmanCh</a></td></tr>
52
53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form.  <a href="classKalmanCh.html#_details">More...</a><br></td></tr>
54<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html">EKFfull</a></td></tr>
55
56<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="classEKFfull.html#_details">More...</a><br></td></tr>
57<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html">EKF&lt; sq_T &gt;</a></td></tr>
58
59<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.  <a href="classEKF.html#_details">More...</a><br></td></tr>
60<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFCh.html">EKFCh</a></td></tr>
61
62<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 Square root.  <a href="classEKFCh.html#_details">More...</a><br></td></tr>
63<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKFcondQR.html">KFcondQR</a></td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q.  <a href="classKFcondQR.html#_details">More...</a><br></td></tr>
66<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKFcondR.html">KFcondR</a></td></tr>
67
68<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q.  <a href="classKFcondR.html#_details">More...</a><br></td></tr>
69</table>
70<hr><a name="_details"></a><h2>Detailed Description</h2>
71Bayesian 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.
72<p>
73<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
74----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
75Using IT++ for numerical operations ----------------------------------- <hr size="1"><address style="text-align: right;"><small>Generated on Fri Apr 18 11:15:15 2008 for mixpp by&nbsp;
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77<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address>
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