📄 classbayesian__filter_1_1covariance__scheme.html
字号:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1"><title>Bayes++ Bayesian Filtering Classes: Bayesian_filter::Covariance_scheme class Reference</title><link href="doxygen.css" rel="stylesheet" type="text/css"></head><body><!-- Generated by Doxygen 1.3.2 --><div class="qindex"><a class="qindex" href="index.html">Main Page</a> | <a class="qindex" href="namespaces.html">Namespace List</a> | <a class="qindex" href="hierarchy.html">Class Hierarchy</a> | <a class="qindex" href="classes.html">Alphabetical List</a> | <a class="qindex" href="annotated.html">Compound List</a> | <a class="qindex" href="files.html">File List</a> | <a class="qindex" href="namespacemembers.html">Namespace Members</a> | <a class="qindex" href="functions.html">Compound Members</a> | <a class="qindex" href="globals.html">File Members</a></div><h1>Bayesian_filter::Covariance_scheme Class Reference</h1><code>#include <<a class="el" href="covFlt_8hpp-source.html">covFlt.hpp</a>></code><p><p>Inheritance diagram for Bayesian_filter::Covariance_scheme:<p><center><img src="classBayesian__filter_1_1Covariance__scheme.png" usemap="#Bayesian_filter::Covariance_scheme_map" border="0" alt=""></center><map name="Bayesian_filter::Covariance_scheme_map"><area href="classBayesian__filter_1_1Extended__kalman__filter.html" alt="Bayesian_filter::Extended_kalman_filter" shape="rect" coords="121,280,353,304"><area href="classBayesian__filter_1_1Linrz__kalman__filter.html" alt="Bayesian_filter::Linrz_kalman_filter" shape="rect" coords="121,224,353,248"><area href="classBayesian__filter_1_1Linrz__filter.html" alt="Bayesian_filter::Linrz_filter" shape="rect" coords="0,168,232,192"><area href="classBayesian__filter_1_1Kalman__state__filter.html" alt="Bayesian_filter::Kalman_state_filter" shape="rect" coords="242,168,474,192"><area href="classBayesian__filter_1_1Bayes__filter__base.html" alt="Bayesian_filter::Bayes_filter_base" shape="rect" coords="0,112,232,136"><area href="classBayesian__filter_1_1State__filter.html" alt="Bayesian_filter::State_filter" shape="rect" coords="242,112,474,136"><area href="classBayesian__filter_1_1Bayes__base.html" alt="Bayesian_filter::Bayes_base" shape="rect" coords="0,56,232,80"><area href="classBayesian__filter_1_1Bayes__filter__base.html" alt="Bayesian_filter::Bayes_filter_base" shape="rect" coords="242,56,474,80"><area href="classBayesian__filter_1_1Bayes__base.html" alt="Bayesian_filter::Bayes_base" shape="rect" coords="242,0,474,24"></map><a href="classBayesian__filter_1_1Covariance__scheme-members.html">List of all members.</a><table border=0 cellpadding=0 cellspacing=0><tr><td></td></tr><tr><td colspan=2><br><h2>Public Member Functions</h2></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top> </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a0">Covariance_scheme</a> (size_t x_size, size_t z_initialsize=0)</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html">Covariance_scheme</a> & </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a1">operator=</a> (const <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html">Covariance_scheme</a> &)</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>void </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a2">init</a> ()</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>void </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a3">update</a> ()</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top><a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Float</a> </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a4">predict</a> (<a class="el" href="classBayesian__filter_1_1Linrz__predict__model.html">Linrz_predict_model</a> &f)</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top><a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Float</a> </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a5">predict</a> (<a class="el" href="classBayesian__filter_1_1Gaussian__predict__model.html">Gaussian_predict_model</a> &f)</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top><a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Float</a> </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a6">observe_innovation</a> (<a class="el" href="classBayesian__filter_1_1Linrz__uncorrelated__observe__model.html">Linrz_uncorrelated_observe_model</a> &h, const FM::Vec &s)</td></tr><tr><td class="memItemLeft" nowrap align=right valign=top><a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Float</a> </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a7">observe_innovation</a> (<a class="el" href="classBayesian__filter_1_1Linrz__correlated__observe__model.html">Linrz_correlated_observe_model</a> &h, const FM::Vec &s)</td></tr><tr><td colspan=2><br><h2>Public Attributes</h2></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>FM::SymMatrix </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#o0">S</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>FM::SymMatrix </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#o1">SI</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>FM::Matrix </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#o2">W</a></td></tr><tr><td colspan=2><br><h2>Protected Member Functions</h2></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>void </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#b0">observe_size</a> (size_t z_size)</td></tr><tr><td colspan=2><br><h2>Protected Attributes</h2></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>FM::RowMatrix </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#p0">tempX</a></td></tr><tr><td class="memItemLeft" nowrap align=right valign=top>size_t </td><td class="memItemRight" valign=bottom><a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#p1">last_z_size</a></td></tr></table><hr><h2>Constructor & Destructor Documentation</h2><a name="a0" doxytag="Bayesian_filter::Covariance_scheme::Covariance_scheme"></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"> Bayesian_filter::Covariance_scheme::Covariance_scheme </td> <td class="md" valign="top">( </td> <td class="md" nowrap valign="top">size_t </td> <td class="mdname" nowrap> <em>x_size</em>, </td> </tr> <tr> <td></td> <td></td> <td class="md" nowrap>size_t </td> <td class="mdname" nowrap> <em>z_initialsize</em> = 0</td> </tr> <tr> <td></td> <td class="md">) </td> <td class="md" colspan="2"></td> </tr> </table> </td> </tr></table><table cellspacing=5 cellpadding=0 border=0> <tr> <td> </td> <td><p> </td> </tr></table><hr><h2>Member Function Documentation</h2><a name="a2" doxytag="Bayesian_filter::Covariance_scheme::init"></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"> void Bayesian_filter::Covariance_scheme::init </td> <td class="md" valign="top">( </td> <td class="mdname1" valign="top" nowrap> </td> <td class="md" valign="top"> ) </td> <td class="md" nowrap><code> [virtual]</code></td> </tr> </table> </td> </tr></table><table cellspacing=5 cellpadding=0 border=0> <tr> <td> </td> <td><p><p>Implements <a class="el" href="classBayesian__filter_1_1Kalman__state__filter.html#a1">Bayesian_filter::Kalman_state_filter</a>. </td> </tr></table><a name="a7" doxytag="Bayesian_filter::Covariance_scheme::observe_innovation"></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"> <a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Bayes_base::Float</a> Bayesian_filter::Covariance_scheme::observe_innovation </td> <td class="md" valign="top">( </td> <td class="md" nowrap valign="top"><a class="el" href="classBayesian__filter_1_1Linrz__correlated__observe__model.html">Linrz_correlated_observe_model</a> & </td> <td class="mdname" nowrap> <em>h</em>, </td> </tr> <tr> <td></td> <td></td> <td class="md" nowrap>const FM::Vec & </td> <td class="mdname" nowrap> <em>s</em></td> </tr> <tr> <td></td> <td class="md">) </td> <td class="md" colspan="2"><code> [virtual]</code></td> </tr> </table> </td> </tr></table><table cellspacing=5 cellpadding=0 border=0> <tr> <td> </td> <td><p><p>Implements <a class="el" href="classBayesian__filter_1_1Extended__kalman__filter.html#a3">Bayesian_filter::Extended_kalman_filter</a>. </td> </tr></table><a name="a6" doxytag="Bayesian_filter::Covariance_scheme::observe_innovation"></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"> <a class="el" href="classBayesian__filter_1_1Bayes__base.html#w0">Bayes_base::Float</a> Bayesian_filter::Covariance_scheme::observe_innovation </td> <td class="md" valign="top">( </td> <td class="md" nowrap valign="top"><a class="el" href="classBayesian__filter_1_1Linrz__uncorrelated__observe__model.html">Linrz_uncorrelated_observe_model</a> & </td> <td class="mdname" nowrap> <em>h</em>, </td> </tr> <tr> <td></td> <td></td> <td class="md" nowrap>const FM::Vec & </td> <td class="mdname" nowrap> <em>s</em></td> </tr> <tr> <td></td> <td class="md">) </td> <td class="md" colspan="2"><code> [virtual]</code></td> </tr> </table> </td> </tr></table><table cellspacing=5 cellpadding=0 border=0> <tr> <td> </td> <td><p><p>Implements <a class="el" href="classBayesian__filter_1_1Extended__kalman__filter.html#a2">Bayesian_filter::Extended_kalman_filter</a>. </td> </tr></table><a name="b0" doxytag="Bayesian_filter::Covariance_scheme::observe_size"></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"> void Bayesian_filter::Covariance_scheme::observe_size </td> <td class="md" valign="top">( </td> <td class="md" nowrap valign="top">size_t </td> <td class="mdname1" valign="top" nowrap> <em>z_size</em> </td> <td class="md" valign="top"> ) </td> <td class="md" nowrap><code> [protected]</code></td> </tr> </table> </td> </tr></table><table cellspacing=5 cellpadding=0 border=0> <tr> <td> </td> <td><p> </td> </tr></table><a name="a1" doxytag="Bayesian_filter::Covariance_scheme::operator="></a><p><table class="mdTable" width="100%" cellpadding="2" cellspacing="0">
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -