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📁 Bayes滤波器算法C++类说明文档,源码见Bayes滤波器算法
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<tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Observe__model__base.html">Observe_model_base</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Parametised__observe__model.html">Parametised_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Predict__model__base.html">Predict_model_base</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Sample__filter.html">Sample_filter</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Sample__state__filter.html">Sample_state_filter</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html">Sampled_general_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Sampled__predict__model.html">Sampled_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__addative__predict__model.html">Simple_addative_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linear__correlated__observe__model.html">Simple_linear_correlated_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linear__predict__model.html">Simple_linear_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linear__uncorrelated__observe__model.html">Simple_linear_uncorrelated_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linrz__correlated__observe__model.html">Simple_linrz_correlated_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linrz__predict__model.html">Simple_linrz_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Simple__linrz__uncorrelated__observe__model.html">Simple_linrz_uncorrelated_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html">SIR_kalman_scheme</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>struct &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="structBayesian__filter_1_1SIR__random.html">SIR_random</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1SIR__scheme.html">SIR_scheme</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Standard__resampler.html">Standard_resampler</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1State__filter.html">State_filter</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Systematic__resampler.html">Systematic_resampler</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1UD__scheme.html">UD_scheme</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1UD__sequential__observe__model.html">UD_sequential_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Uncorrelated__addative__observe__model.html">Uncorrelated_addative_observe_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Unscented__predict__model.html">Unscented_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>class &nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Unscented__scheme.html">Unscented_scheme</a></td></tr><tr><td colspan=2><br><h2>Typedefs</h2></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>typedef boost::function1&lt;<br> const FM::Vec &amp;, const FM::Vec &amp; &gt;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="namespaceBayesian__filter.html#a0">State_function</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>typedef <a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html">Sampled_general_predict_model</a>&lt;<br> <a class="el" href="classBayesian__filter_1_1Linear__predict__model.html">Linear_predict_model</a> &gt;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="namespaceBayesian__filter.html#a1">Sampled_LiAd_predict_model</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>typedef <a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html">Sampled_general_predict_model</a>&lt;<br> <a class="el" href="classBayesian__filter_1_1Linear__invertable__predict__model.html">Linear_invertable_predict_model</a> &gt;&nbsp;</td><td class="memItemRight" valign=bottom><a class="el" href="namespaceBayesian__filter.html#a2">Sampled_LiInAd_predict_model</a></td></tr></table><hr><h2>Typedef Documentation</h2><a name="a1" doxytag="Bayesian_filter::Sampled_LiAd_predict_model"></a><p><table class="mdTable" width="100%" cellpadding="2" cellspacing="0">  <tr>    <td class="mdRow">      <table cellpadding="0" cellspacing="0" border="0">        <tr>          <td class="md" nowrap valign="top"> typedef <a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html">Sampled_general_predict_model</a>&lt;<a class="el" href="classBayesian__filter_1_1Linear__predict__model.html">Linear_predict_model</a>&gt; <a class="el" href="namespaceBayesian__filter.html#a1">Bayesian_filter::Sampled_LiAd_predict_model</a>      </table>    </td>  </tr></table><table cellspacing=5 cellpadding=0 border=0>  <tr>    <td>      &nbsp;    </td>    <td><p>    </td>  </tr></table><a name="a2" doxytag="Bayesian_filter::Sampled_LiInAd_predict_model"></a><p><table class="mdTable" width="100%" cellpadding="2" cellspacing="0">  <tr>    <td class="mdRow">      <table cellpadding="0" cellspacing="0" border="0">        <tr>          <td class="md" nowrap valign="top"> typedef <a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html">Sampled_general_predict_model</a>&lt;<a class="el" href="classBayesian__filter_1_1Linear__invertable__predict__model.html">Linear_invertable_predict_model</a>&gt; <a class="el" href="namespaceBayesian__filter.html#a2">Bayesian_filter::Sampled_LiInAd_predict_model</a>      </table>    </td>  </tr></table><table cellspacing=5 cellpadding=0 border=0>  <tr>    <td>      &nbsp;    </td>    <td><p>    </td>  </tr></table><a name="a0" doxytag="Bayesian_filter::State_function"></a><p><table class="mdTable" width="100%" cellpadding="2" cellspacing="0">  <tr>    <td class="mdRow">      <table cellpadding="0" cellspacing="0" border="0">        <tr>          <td class="md" nowrap valign="top"> typedef boost::function1&lt;const FM::Vec&amp;, const FM::Vec&amp;&gt; <a class="el" href="namespaceBayesian__filter.html#a0">Bayesian_filter::State_function</a>      </table>    </td>  </tr></table><table cellspacing=5 cellpadding=0 border=0>  <tr>    <td>      &nbsp;    </td>    <td><p>    </td>  </tr></table><hr size="1"><address style="align: right;"><small>Generated on Mon Feb 16 11:20:43 2004 for Bayes++ Bayesian Filtering Classes by<a href="http://www.doxygen.org/index.html"><img src="doxygen.png" alt="doxygen" align="middle" border=0 > </a>1.3.2 </small></address></body></html>

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