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| 19 | <h1>work/git/mixpp/bdm/estim/libPF.h File Reference</h1>Bayesian Filtering using stochastic sampling (Particle Filters). <a href="#_details">More...</a> |
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| 20 | <p> |
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| 21 | <code>#include <itpp/itbase.h></code><br> |
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| 22 | <code>#include "<a class="el" href="libEF_8h-source.html">../stat/libEF.h</a>"</code><br> |
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| 23 | <code>#include "<a class="el" href="libDC_8h-source.html">../math/libDC.h</a>"</code><br> |
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| 24 | |
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| 27 | Include dependency graph for libPF.h:</div> |
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| 41 | </div> |
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| 42 | |
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| 43 | <p> |
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| 44 | <a href="libPF_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> |
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| 45 | <tr><td></td></tr> |
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| 46 | <tr><td colspan="2"><br><h2>Classes</h2></td></tr> |
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| 47 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classPF.html">PF</a></td></tr> |
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| 48 | |
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| 49 | <tr><td class="mdescLeft"> </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> |
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| 50 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classMPF.html">MPF< BM_T ></a></td></tr> |
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| 51 | |
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| 52 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Marginalized Particle filter. <a href="classMPF.html#_details">More...</a><br></td></tr> |
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| 53 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><b>MPF< BM_T >::mpfepdf</b></td></tr> |
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| 54 | |
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| 55 | <tr><td class="mdescLeft"> </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> |
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| 56 | <tr><td colspan="2"><br><h2>Variables</h2></td></tr> |
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| 57 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="718eb6f36f33fd5898956fb950d0d8f2"></a><!-- doxytag: member="libPF.h::PF_SSAT" ref="718eb6f36f33fd5898956fb950d0d8f2" args="" --> |
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| 58 | double </td><td class="memItemRight" valign="bottom"><b>PF_SSAT</b></td></tr> |
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| 59 | |
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| 60 | </table> |
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| 61 | <hr><a name="_details"></a><h2>Detailed Description</h2> |
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| 62 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 63 | <p> |
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| 64 | <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> |
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| 65 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> |
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| 66 | Using IT++ for numerical operations ----------------------------------- </div> |
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| 67 | <hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 16 17:22:04 2008 for mixpp by |
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| 69 | <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address> |
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