66 | | <h1>kalman.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
67 | | <a href="#_details">More...</a> |
68 | | <p> |
69 | | <code>#include "../math/functions.h"</code><br> |
70 | | <code>#include "<a class="el" href="exp__family_8h-source.html">../stat/exp_family.h</a>"</code><br> |
71 | | <code>#include "<a class="el" href="chmat_8h-source.html">../math/chmat.h</a>"</code><br> |
72 | | <code>#include "<a class="el" href="user__info_8h-source.html">../base/user_info.h</a>"</code><br> |
| 69 | <h1>kalman.h File Reference</h1> |
| 70 | <p>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
| 71 | <a href="#_details">More...</a></p> |
| 72 | <code>#include "../math/functions.h"</code><br/> |
| 73 | <code>#include "../stat/exp_family.h"</code><br/> |
| 74 | <code>#include "../math/chmat.h"</code><br/> |
| 75 | <code>#include "../base/user_info.h"</code><br/> |
74 | | <p> |
75 | | <a href="kalman_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> |
76 | | <tr><td></td></tr> |
77 | | <tr><td colspan="2"><br><h2>Classes</h2></td></tr> |
78 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1StateSpace.html">bdm::StateSpace< sq_T ></a></td></tr> |
79 | | |
80 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic elements of linear state-space model. <a href="classbdm_1_1StateSpace.html#_details">More...</a><br></td></tr> |
81 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1Kalman.html">bdm::Kalman< sq_T ></a></td></tr> |
82 | | |
83 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">Common abstract base for <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filters. <a href="classbdm_1_1Kalman.html#_details">More...</a><br></td></tr> |
84 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanFull.html">bdm::KalmanFull</a></td></tr> |
85 | | |
86 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with full matrices. <a href="classbdm_1_1KalmanFull.html#_details">More...</a><br></td></tr> |
87 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanCh.html">bdm::KalmanCh</a></td></tr> |
88 | | |
89 | | <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in square <a class="el" href="classbdm_1_1root.html" title="Root class of BDM objects.">root</a> form. <a href="classbdm_1_1KalmanCh.html#_details">More...</a><br></td></tr> |
90 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFfull.html">bdm::EKFfull</a></td></tr> |
91 | | |
92 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> Filter in full matrices. <a href="classbdm_1_1EKFfull.html#_details">More...</a><br></td></tr> |
93 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh.html">bdm::EKFCh</a></td></tr> |
94 | | |
95 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> Filter in Square <a class="el" href="classbdm_1_1root.html" title="Root class of BDM objects.">root</a>. <a href="classbdm_1_1EKFCh.html#_details">More...</a><br></td></tr> |
96 | | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MultiModel.html">bdm::MultiModel</a></td></tr> |
97 | | |
98 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">(Switching) Multiple Model The model runs several models in parallel and evaluates thier weights (fittness). <a href="classbdm_1_1MultiModel.html#_details">More...</a><br></td></tr> |
99 | | <tr><td colspan="2"><br><h2>Functions</h2></td></tr> |
100 | | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5e1b3b4da814283b69eed3dfed7636ce"></a><!-- doxytag: member="kalman.h::UIREGISTER" ref="5e1b3b4da814283b69eed3dfed7636ce" args="(KalmanFull)" --> |
| 77 | <p><a href="kalman_8h_source.html">Go to the source code of this file.</a></p> |
| 78 | <table border="0" cellpadding="0" cellspacing="0"> |
| 79 | <tr><td colspan="2"><h2>Classes</h2></td></tr> |
| 80 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1StateSpace.html">bdm::StateSpace< sq_T ></a></td></tr> |
| 81 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic elements of linear state-space model. <a href="classbdm_1_1StateSpace.html#_details">More...</a><br/></td></tr> |
| 82 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1Kalman.html">bdm::Kalman< sq_T ></a></td></tr> |
| 83 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Common abstract base for <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filters. <a href="classbdm_1_1Kalman.html#_details">More...</a><br/></td></tr> |
| 84 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanFull.html">bdm::KalmanFull</a></td></tr> |
| 85 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Basic <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter with full matrices. <a href="classbdm_1_1KalmanFull.html#_details">More...</a><br/></td></tr> |
| 86 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1KalmanCh.html">bdm::KalmanCh</a></td></tr> |
| 87 | <tr><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> filter in square <a class="el" href="classbdm_1_1root.html" title="Root class of BDM objects.">root</a> form. <a href="classbdm_1_1KalmanCh.html#_details">More...</a><br/></td></tr> |
| 88 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFfull.html">bdm::EKFfull</a></td></tr> |
| 89 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> Filter in full matrices. <a href="classbdm_1_1EKFfull.html#_details">More...</a><br/></td></tr> |
| 90 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh.html">bdm::EKFCh</a></td></tr> |
| 91 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Common abstract base for Kalman filters.">Kalman</a> Filter in Square <a class="el" href="classbdm_1_1root.html" title="Root class of BDM objects.">root</a>. <a href="classbdm_1_1EKFCh.html#_details">More...</a><br/></td></tr> |
| 92 | <tr><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1MultiModel.html">bdm::MultiModel</a></td></tr> |
| 93 | <tr><td class="mdescLeft"> </td><td class="mdescRight">(Switching) Multiple Model The model runs several models in parallel and evaluates thier weights (fittness). <a href="classbdm_1_1MultiModel.html#_details">More...</a><br/></td></tr> |
| 94 | <tr><td colspan="2"><h2>Functions</h2></td></tr> |
| 95 | <tr><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a5e1b3b4da814283b69eed3dfed7636ce"></a><!-- doxytag: member="kalman.h::UIREGISTER" ref="a5e1b3b4da814283b69eed3dfed7636ce" args="(KalmanFull)" --> |
120 | | |
121 | | <tr><td class="memTemplParams" nowrap colspan="2">template<class sq_T > </td></tr> |
122 | | <tr><td class="memTemplItemLeft" nowrap align="right" valign="top">shared_ptr< StateSpace< fsqmat > > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacebdm.html#ad8e1dc54f48447900bc4e1190f37ded">bdm::to_state_space</a> (const mlnorm< sq_T > &ml, ivec &theta_in_A, ivec &theta_in_C)</td></tr> |
123 | | |
124 | | <tr><td class="mdescLeft"> </td><td class="mdescRight">conversion of outer <a class="el" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> model (<a class="el" href="classbdm_1_1mlnorm.html" title="Normal distributed linear function with linear function of mean value;.">mlnorm</a>) to state space model <a href="#ad8e1dc54f48447900bc4e1190f37ded"></a><br></td></tr> |
| 109 | <tr><td class="memTemplParams" colspan="2">template<class sq_T > </td></tr> |
| 110 | <tr><td class="memTemplItemLeft" align="right" valign="top">shared_ptr< StateSpace< fsqmat > > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacebdm.html#aad8e1dc54f48447900bc4e1190f37ded">bdm::to_state_space</a> (const mlnorm< sq_T > &ml, ivec &theta_in_A, ivec &theta_in_C)</td></tr> |
| 111 | <tr><td class="mdescLeft"> </td><td class="mdescRight">conversion of outer <a class="el" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> model (<a class="el" href="classbdm_1_1mlnorm.html" title="Normal distributed linear function with linear function of mean value;.">mlnorm</a>) to state space model <a href="#aad8e1dc54f48447900bc4e1190f37ded"></a><br/></td></tr> |
126 | | <hr><a name="_details"></a><h2>Detailed Description</h2> |
127 | | Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. |
128 | | <p> |
129 | | <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> |
130 | | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> |
131 | | Using IT++ for numerical operations ----------------------------------- </div> |
132 | | <hr size="1"><address style="text-align: right;"><small>Generated on Sat Aug 29 20:49:42 2009 for mixpp by |
| 113 | <hr/><a name="_details"></a><h2>Detailed Description</h2> |
| 114 | <p>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. </p> |
| 115 | <dl class="author"><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> |
| 116 | <p>----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty</p> |
| 117 | <p>Using IT++ for numerical operations ----------------------------------- </p> |
| 118 | </div> |
| 119 | <hr size="1"/><address style="text-align: right;"><small>Generated on Sun Aug 30 22:10:49 2009 for mixpp by |