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    1818</div> 
    1919<div class="contents"> 
    20 <h1>work/git/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> 
     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> 
    2121<p> 
    2222<code>#include &lt;itpp/itbase.h&gt;</code><br> 
     
    4040<p><center><img src="libKF_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libKF.hdep_map" alt=""></center> 
    4141<map name="work/git/mixpp/bdm/estim/libKF.hdep_map"> 
    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_8cpp.html" title="Simulation of disturbances in PMSM model, PWM and integration disturbances are distinguished..." alt="" coords="1885,84,2096,111"><area shape="rect" href="sim__var_8cpp.html" title="Simulation of disturbances in PMSM model, EKF runs with simulated covariances." alt="" coords="2120,84,2357,111"><area shape="rect" href="ekf__obj_8h.html" title="Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions." alt="" coords="2381,84,2803,111"><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> 
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    4343</div> 
    4444 
     
    4646<a href="libKF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> 
    4747<tr><td></td></tr> 
     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 
    4851<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="classKalmanFull.html">KalmanFull</a></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_1KalmanFull.html">bdm::KalmanFull</a></td></tr> 
    5053 
    51 <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> 
    52 <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> 
     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> 
    5356 
    54 <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> 
    55 <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> 
     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> 
    5659 
    57 <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> 
    58 <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> 
     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> 
    5962 
    60 <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> 
    61 <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> 
     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> 
    6265 
    63 <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> 
    64 <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> 
     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> 
    6568 
    66 <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> 
    67 <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> 
     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> 
    6871 
    69 <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> 
    70 <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> 
     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> 
    7174 
    72 <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> 
     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> 
    7376</table> 
    7477<hr><a name="_details"></a><h2>Detailed Description</h2> 
    75 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.  
     78Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions.  
    7679<p> 
    7780<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> 
    7881----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> 
    7982Using IT++ for numerical operations ----------------------------------- </div> 
    80 <hr size="1"><address style="text-align: right;"><small>Generated on Thu Jan 15 10:50:32 2009 for mixpp by&nbsp; 
     83<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:29:58 2009 for mixpp by&nbsp; 
    8184<a href="http://www.doxygen.org/index.html"> 
    8285<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>