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<div class="title">mrpt::bayes Namespace Reference<div class="ingroups"><a class="el" href="group__mrpt__base__grp.html">[mrpt-base]</a> | <a class="el" href="group__mrpt__bayes__grp.html">[mrpt-bayes]</a></div></div> </div>
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<hr/><a name="details" id="details"></a><h2>Detailed Description</h2>
<div class="textblock"><p>The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms. </p>
</div><table class="memberdecls">
<tr><td colspan="2"><h2><a name="namespaces"></a>
Namespaces</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">namespace  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1bayes_1_1detail.html">detail</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight"><p>Auxiliary functions, for internal usage of MRPT classes. </p>
<br/></td></tr>
<tr><td colspan="2"><h2><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter.html">CParticleFilter</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This class acts as a common interface to the different interfaces (see <a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter.html#ab53101e2ac73154a4044a9562d20acb7" title="Defines different types of particle filter algorithms.">CParticleFilter::TParticleFilterAlgorithm</a>) any <a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter_capable.html" title="This virtual class defines the interface that any particles based PDF class must implement in order t...">bayes::CParticleFilterCapable</a> class can implement: it is the invoker of particle filter algorithms. <a href="classmrpt_1_1bayes_1_1_c_particle_filter.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter_capable.html">CParticleFilterCapable</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This virtual class defines the interface that any particles based PDF class must implement in order to be executed by a <a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter.html" title="This class acts as a common interface to the different interfaces (see CParticleFilter::TParticleFilt...">mrpt::bayes::CParticleFilter</a>. <a href="classmrpt_1_1bayes_1_1_c_particle_filter_capable.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter_data.html">CParticleFilterData</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">This template class declares the array of particles and its internal data, managing some memory-related issues and providing an easy implementation of virtual methods required for implementing a <a class="el" href="classmrpt_1_1bayes_1_1_c_particle_filter_capable.html" title="This virtual class defines the interface that any particles based PDF class must implement in order t...">CParticleFilterCapable</a>. <a href="classmrpt_1_1bayes_1_1_c_particle_filter_data.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structmrpt_1_1bayes_1_1_c_probability_particle.html">CProbabilityParticle</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A template class for holding a the data and the weight of a particle. <a href="structmrpt_1_1bayes_1_1_c_probability_particle.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structmrpt_1_1bayes_1_1_t_k_f__options.html">TKF_options</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Generic options for the Kalman Filter algorithm in itself. <a href="structmrpt_1_1bayes_1_1_t_k_f__options.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1bayes_1_1_c_kalman_filter_capable.html">CKalmanFilterCapable</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. <a href="classmrpt_1_1bayes_1_1_c_kalman_filter_capable.html#details">More...</a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmrpt_1_1bayes_1_1_c_rejection_sampling_capable.html">CRejectionSamplingCapable</a></td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">A base class for implementing rejection sampling in a generic state space. <a href="classmrpt_1_1bayes_1_1_c_rejection_sampling_capable.html#details">More...</a><br/></td></tr>
<tr><td colspan="2"><h2><a name="enum-members"></a>
Enumerations</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="group__mrpt__bayes__grp.html#ga93ff73c3a01619f01d97fd80dff40d14">TKFMethod</a> { <a class="el" href="group__mrpt__bayes__grp.html#gga93ff73c3a01619f01d97fd80dff40d14a5ad91d60187b5cca61d25994f7827dc0">kfEKFNaive</a> = 0,
<a class="el" href="group__mrpt__bayes__grp.html#gga93ff73c3a01619f01d97fd80dff40d14acb25ab5d45035eb456de1c7250dbcf5a">kfEKFAlaDavison</a>,
<a class="el" href="group__mrpt__bayes__grp.html#gga93ff73c3a01619f01d97fd80dff40d14ac5aee4885e69b59edf793342e96acab3">kfIKFFull</a>,
<a class="el" href="group__mrpt__bayes__grp.html#gga93ff73c3a01619f01d97fd80dff40d14a0c3af1381c1d9b4b4ebb04370dc59ba9">kfIKF</a>
}</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: <a href="http://www.mrpt.org/Kalman_Filters.">http://www.mrpt.org/Kalman_Filters.</a> <a href="group__mrpt__bayes__grp.html#ga93ff73c3a01619f01d97fd80dff40d14">More...</a><br/></td></tr>
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