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1<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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3<title>mixpp: work/git/mixpp/bdm/estim/libPF.h File Reference</title>
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20<h1>work/git/mixpp/bdm/estim/libPF.h File Reference</h1>Bayesian Filtering using stochastic sampling (Particle Filters). <a href="#_details">More...</a>
21<p>
22<code>#include &lt;itpp/itbase.h&gt;</code><br>
23<code>#include &quot;<a class="el" href="libEF_8h-source.html">../stat/libEF.h</a>&quot;</code><br>
24<code>#include &quot;<a class="el" href="libDC_8h-source.html">../math/libDC.h</a>&quot;</code><br>
25
26<p>
27<div class="dynheader">
28Include dependency graph for libPF.h:</div>
29<div class="dynsection">
30<p><center><img src="libPF_8h__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libPF.h_map" alt=""></center>
31<map name="work/git/mixpp/bdm/estim/libPF.h_map">
32<area shape="rect" href="libEF_8h.html" title="Probability distributions for Exponential Family models." alt="" coords="164,84,265,111"><area shape="rect" href="libDC_8h.html" title="Matrices in decomposed forms (LDL&#39;, LU, UDU&#39;, etc)." alt="" coords="63,161,177,188"><area shape="rect" href="itpp__ext_8h-source.html" title="../itpp_ext.h" alt="" coords="157,239,253,265"><area shape="rect" href="libBM_8h.html" title="Bayesian Models (bm) that use Bayes rule to learn from observations." alt="" coords="252,161,319,188"></map>
33</div>
34
35<p>
36<div class="dynheader">
37This graph shows which files directly or indirectly include this file:</div>
38<div class="dynsection">
39<p><center><img src="libPF_8h__dep__incl.png" border="0" usemap="#work/git/mixpp/bdm/estim/libPF.hdep_map" alt=""></center>
40<map name="work/git/mixpp/bdm/estim/libPF.hdep_map">
41<area shape="rect" href="mpf__test_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="5,84,251,111"><area shape="rect" href="mpf__u__delta_8cpp.html" title="TR 2525 file for testing Toy Problem of mpf for Covariance Estimation." alt="" coords="275,84,541,111"><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="565,84,843,111"><area shape="rect" href="pmsm__mix_8cpp.html" title="Models for synchronous electric drive using IT++ and BDM." alt="" coords="867,84,1125,111"><area shape="rect" href="pmsm__unkQpf_8cpp.html" title="A test for Kalman with unknown Q." alt="" coords="1149,84,1429,111"><area shape="rect" href="sim_8cpp.html" title="Simulation of disturbances in PMSM model, PWM and integration disturbances are distinguished..." alt="" coords="1453,84,1664,111"></map>
42</div>
43
44<p>
45<a href="libPF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
46<tr><td></td></tr>
47<tr><td colspan="2"><br><h2>Classes</h2></td></tr>
48<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classPF.html">PF</a></td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Trivial particle filter with proposal density equal to parameter evolution model.  <a href="classPF.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="classMPF.html">MPF&lt; BM_T &gt;</a></td></tr>
52
53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Marginalized Particle filter.  <a href="classMPF.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"><b>MPF&lt; BM_T &gt;::mpfepdf</b></td></tr>
55
56<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">internal class for MPDF providing composition of <a class="el" href="classeEmp.html" title="Weighted empirical density.">eEmp</a> with external components <br></td></tr>
57<tr><td colspan="2"><br><h2>Variables</h2></td></tr>
58<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="718eb6f36f33fd5898956fb950d0d8f2"></a><!-- doxytag: member="libPF.h::PF_SSAT" ref="718eb6f36f33fd5898956fb950d0d8f2" args="" -->
59double&nbsp;</td><td class="memItemRight" valign="bottom"><b>PF_SSAT</b></td></tr>
60
61</table>
62<hr><a name="_details"></a><h2>Detailed Description</h2>
63Bayesian Filtering using stochastic sampling (Particle Filters).
64<p>
65<dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
66----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
67Using IT++ for numerical operations ----------------------------------- </div>
68<hr size="1"><address style="text-align: right;"><small>Generated on Mon Jan 5 19:29:11 2009 for mixpp by&nbsp;
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70<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
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