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[255]20<h1>work/git/mixpp/bdm/estim/libKF.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. <a href="#_details">More...</a>
[8]21<p>
22<code>#include &lt;itpp/itbase.h&gt;</code><br>
[22]23<code>#include &quot;../stat/libFN.h&quot;</code><br>
[32]24<code>#include &quot;<a class="el" href="libEF_8h-source.html">../stat/libEF.h</a>&quot;</code><br>
[37]25<code>#include &quot;<a class="el" href="chmat_8h-source.html">../math/chmat.h</a>&quot;</code><br>
[8]26
27<p>
[19]28<div class="dynheader">
29Include dependency graph for libKF.h:</div>
30<div class="dynsection">
[145]31<p><center><img src="libKF_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libKF.h_map" alt=""></center>
32<map name="work/git/mixpp/bdm/estim/libKF.h_map">
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[19]34</div>
35
36<p>
[79]37<div class="dynheader">
38This graph shows which files directly or indirectly include this file:</div>
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[145]40<p><center><img src="libKF_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libKF.hdep_map" alt=""></center>
41<map name="work/git/mixpp/bdm/estim/libKF.hdep_map">
[255]42<area shape="rect" href="ekf__templ_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="557,84,821,111"><area shape="rect" href="mpf__load_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="5,161,253,188"><area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="800,161,1045,188"><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="1069,161,1368,188"><area shape="rect" href="mpf__u__delta_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="989,84,1256,111"><area shape="rect" href="mpf__u__weight_8cpp.html" title="Voltage U is multiplied by an unknown weight w which is estimated by MPF." alt="" coords="1280,84,1557,111"><area shape="rect" href="pmsm__unkQpf_8cpp.html" title="A test for Kalman with unknown Q." alt="" coords="1581,84,1861,111"><area shape="rect" href="sim__var_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="1885,84,2123,111"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="2147,84,2568,111"><area shape="rect" href="k1_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="560,161,776,188"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="277,161,536,188"></map>
[79]43</div>
44
45<p>
[8]46<a href="libKF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
47<tr><td></td></tr>
[255]48<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
49<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm</b></td></tr>
50
[8]51<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
[255]52<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanFull.html">bdm::KalmanFull</a></td></tr>
[8]53
[255]54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Basic <a class="el" href="classbdm_1_1Kalman.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="classbdm_1_1KalmanFull.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_1Kalman.html">bdm::Kalman&lt; sq_T &gt;</a></td></tr>
[8]56
[255]57<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form.  <a href="classbdm_1_1Kalman.html#_details">More...</a><br></td></tr>
58<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanCh.html">bdm::KalmanCh</a></td></tr>
[37]59
[255]60<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form.  <a href="classbdm_1_1KalmanCh.html#_details">More...</a><br></td></tr>
61<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFfull.html">bdm::EKFfull</a></td></tr>
[79]62
[255]63<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 full matrices.  <a href="classbdm_1_1EKFfull.html#_details">More...</a><br></td></tr>
64<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKF.html">bdm::EKF&lt; sq_T &gt;</a></td></tr>
[22]65
[255]66<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.  <a href="classbdm_1_1EKF.html#_details">More...</a><br></td></tr>
67<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh.html">bdm::EKFCh</a></td></tr>
[79]68
[255]69<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 Square root.  <a href="classbdm_1_1EKFCh.html#_details">More...</a><br></td></tr>
70<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KFcondQR.html">bdm::KFcondQR</a></td></tr>
[32]71
[255]72<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q.  <a href="classbdm_1_1KFcondQR.html#_details">More...</a><br></td></tr>
73<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KFcondR.html">bdm::KFcondR</a></td></tr>
[33]74
[255]75<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q.  <a href="classbdm_1_1KFcondR.html#_details">More...</a><br></td></tr>
[8]76</table>
77<hr><a name="_details"></a><h2>Detailed Description</h2>
[255]78Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.
[8]79<p>
80<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
81----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
[91]82Using IT++ for numerical operations ----------------------------------- </div>
[255]83<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:29:58 2009 for mixpp by&nbsp;
[8]84<a href="http://www.doxygen.org/index.html">
[139]85<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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