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<h1>mrpt::bayes Namespace Reference</h1>
<p>The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms.  
<a href="#_details">More...</a></p>
<table border="0" cellpadding="0" cellspacing="0">
<tr><td colspan="2"><h2>Namespaces</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1bayes_1_1detail.html">detail</a></td></tr>

<p><tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><p>Auxiliary functions, for internal usage of MRPT classes. </p>
<br/></td></tr>
</p>
<tr><td colspan="2"><h2>Classes</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">struct &nbsp;</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">&nbsp;</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 &nbsp;</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">&nbsp;</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 &nbsp;</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">&nbsp;</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...">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 &nbsp;</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">&nbsp;</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::TParticleFil...">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 &nbsp;</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">&nbsp;</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...">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 &nbsp;</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">&nbsp;</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">class &nbsp;</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">&nbsp;</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>Enumerations</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">enum &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14">TKFMethod</a> { <a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14a5ad91d60187b5cca61d25994f7827dc0">kfEKFNaive</a> =  0, 
<a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14acb25ab5d45035eb456de1c7250dbcf5a">kfEKFAlaDavison</a>, 
<a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14ac5aee4885e69b59edf793342e96acab3">kfIKFFull</a>, 
<a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14a0c3af1381c1d9b4b4ebb04370dc59ba9">kfIKF</a>
 }</td></tr>
<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight"><p>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> </p>
 <a href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14">More...</a><br/></td></tr>
</table>
<hr/><a name="_details"></a><h2>Detailed Description</h2>
<p>The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms. </p>
<hr/><h2>Enumeration Type Documentation</h2>
<a class="anchor" id="a93ff73c3a01619f01d97fd80dff40d14"></a><!-- doxytag: member="mrpt::bayes::TKFMethod" ref="a93ff73c3a01619f01d97fd80dff40d14" args="" -->
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          <td class="memname">enum <a class="el" href="namespacemrpt_1_1bayes.html#a93ff73c3a01619f01d97fd80dff40d14">mrpt::bayes::TKFMethod</a></td>
        </tr>
      </table>
</div>
<div class="memdoc">

<p>The Kalman Filter algorithm to employ in <a class="el" href="classmrpt_1_1bayes_1_1_c_kalman_filter_capable.html" title="Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations.">bayes::CKalmanFilterCapable</a> For further details on each algorithm see the tutorial: <a href="http://www.mrpt.org/Kalman_Filters.">http://www.mrpt.org/Kalman_Filters.</a> </p>
<dl class="see"><dt><b>See also:</b></dt><dd><a class="el" href="classmrpt_1_1bayes_1_1_c_kalman_filter_capable.html#a266bef9132e6bd40a31b1f4a8ea0bbcb" title="Generic options for the Kalman Filter algorithm itself.">bayes::CKalmanFilterCapable::KF_options</a> </dd></dl>
<dl><dt><b>Enumerator: </b></dt><dd><table border="0" cellspacing="2" cellpadding="0">
<tr><td valign="top"><em><a class="anchor" id="a93ff73c3a01619f01d97fd80dff40d14a5ad91d60187b5cca61d25994f7827dc0"></a><!-- doxytag: member="kfEKFNaive" ref="a93ff73c3a01619f01d97fd80dff40d14a5ad91d60187b5cca61d25994f7827dc0" args="" -->kfEKFNaive</em>&nbsp;</td><td>
</td></tr>
<tr><td valign="top"><em><a class="anchor" id="a93ff73c3a01619f01d97fd80dff40d14acb25ab5d45035eb456de1c7250dbcf5a"></a><!-- doxytag: member="kfEKFAlaDavison" ref="a93ff73c3a01619f01d97fd80dff40d14acb25ab5d45035eb456de1c7250dbcf5a" args="" -->kfEKFAlaDavison</em>&nbsp;</td><td>
</td></tr>
<tr><td valign="top"><em><a class="anchor" id="a93ff73c3a01619f01d97fd80dff40d14ac5aee4885e69b59edf793342e96acab3"></a><!-- doxytag: member="kfIKFFull" ref="a93ff73c3a01619f01d97fd80dff40d14ac5aee4885e69b59edf793342e96acab3" args="" -->kfIKFFull</em>&nbsp;</td><td>
</td></tr>
<tr><td valign="top"><em><a class="anchor" id="a93ff73c3a01619f01d97fd80dff40d14a0c3af1381c1d9b4b4ebb04370dc59ba9"></a><!-- doxytag: member="kfIKF" ref="a93ff73c3a01619f01d97fd80dff40d14a0c3af1381c1d9b4b4ebb04370dc59ba9" args="" -->kfIKF</em>&nbsp;</td><td>
</td></tr>
</table>
</dd>
</dl>

<p>Definition at line <a class="el" href="_c_kalman_filter_capable_8h_source.html#l00058">58</a> of file <a class="el" href="_c_kalman_filter_capable_8h_source.html">CKalmanFilterCapable.h</a>.</p>

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