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| 3 | <title>mixpp: work/mixpp/libPF.h File Reference</title> |
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| 15 | <h1>work/mixpp/libPF.h File Reference</h1>Bayesian Filtering using stochastic sampling (Particle Filters). <a href="#_details">More...</a> |
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| 16 | <p> |
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| 17 | <code>#include <itpp/itbase.h></code><br> |
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| 18 | <code>#include "<a class="el" href="libBM_8h-source.html">libBM.h</a>"</code><br> |
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| 19 | <code>#include "<a class="el" href="libDC_8h-source.html">libDC.h</a>"</code><br> |
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| 20 | |
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| 21 | <p> |
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| 22 | <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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| 23 | <tr><td></td></tr> |
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| 24 | <tr><td colspan="2"><br><h2>Classes</h2></td></tr> |
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| 25 | <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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| 26 | |
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| 27 | <tr><td class="mdescLeft"> </td><td class="mdescRight">A Particle Filter prototype. <a href="classPF.html#_details">More...</a><br></td></tr> |
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| 28 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classTrivialPF.html">TrivialPF</a></td></tr> |
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| 29 | |
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| 30 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Trivial particle filter with proposal density that is not conditioned on the data. <a href="classTrivialPF.html#_details">More...</a><br></td></tr> |
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| 31 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><b>MPF</b></td></tr> |
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| 32 | |
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| 33 | <tr><td colspan="2"><br><h2>Enumerations</h2></td></tr> |
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| 34 | <tr><td class="memItemLeft" nowrap align="right" valign="top">enum </td><td class="memItemRight" valign="bottom"><b>RESAMPLING_METHOD</b> { <b>MULTINOMIAL</b> = 0, |
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| 35 | <b>DETERMINISTIC</b> = 1, |
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| 36 | <b>RESIDUAL</b> = 2, |
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| 37 | <b>SYSTEMATIC</b> = 3 |
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| 38 | }</td></tr> |
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| 39 | |
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| 40 | </table> |
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| 41 | <hr><a name="_details"></a><h2>Detailed Description</h2> |
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| 42 | Bayesian Filtering using stochastic sampling (Particle Filters). |
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| 43 | <p> |
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| 44 | <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> |
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| 45 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> |
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| 46 | Using IT++ for numerical operations ----------------------------------- <hr size="1"><address style="text-align: right;"><small>Generated on Wed Jan 23 11:30:10 2008 for mixpp by |
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| 48 | <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address> |
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