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3<title>mixpp: EKF&lt; sq_T &gt; Class Template Reference</title>
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7<!-- Generated by Doxygen 1.5.3 -->
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9  <ul>
10    <li><a href="index.html"><span>Main&nbsp;Page</span></a></li>
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17  <ul>
18    <li><a href="annotated.html"><span>Class&nbsp;List</span></a></li>
19    <li><a href="hierarchy.html"><span>Class&nbsp;Hierarchy</span></a></li>
20    <li><a href="functions.html"><span>Class&nbsp;Members</span></a></li>
21  </ul>
22</div>
23<h1>EKF&lt; sq_T &gt; Class Template Reference</h1><!-- doxytag: class="EKF" --><!-- doxytag: inherits="Kalman&lt; fsqmat &gt;" -->Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter. 
24<a href="#_details">More...</a>
25<p>
26<code>#include &lt;<a class="el" href="libKF_8h-source.html">libKF.h</a>&gt;</code>
27<p>
28<div class="dynheader">
29Inheritance diagram for EKF&lt; sq_T &gt;:</div>
30<div class="dynsection">
31<p><center><img src="classEKF__inherit__graph.png" border="0" usemap="#EKF_3_01sq__T_01_4__inherit__map" alt="Inheritance graph"></center>
32<map name="EKF_3_01sq__T_01_4__inherit__map">
33<area shape="rect" href="classKalman.html" title="Kalman\&lt; fsqmat \&gt;" alt="" coords="5,183,152,209"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="69,7,112,33"><area shape="rect" href="classKalman.html" title="Kalman filter with covariance matrices in square root form." alt="" coords="95,87,223,113"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="143,111,151,119"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="85,179,93,187"></map>
34<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
35<div class="dynheader">
36Collaboration diagram for EKF&lt; sq_T &gt;:</div>
37<div class="dynsection">
38<p><center><img src="classEKF__coll__graph.png" border="0" usemap="#EKF_3_01sq__T_01_4__coll__map" alt="Collaboration graph"></center>
39<map name="EKF_3_01sq__T_01_4__coll__map">
40<area shape="rect" href="classKalman.html" title="Kalman\&lt; fsqmat \&gt;" alt="" coords="295,641,441,668"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="396,231,439,257"><area shape="rect" href="classKalman.html" title="Kalman filter with covariance matrices in square root form." alt="" coords="268,377,396,404"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="399,7,436,33"><area shape="rect" title="rvu\nrvy" alt="" coords="429,31,437,39"><area shape="rect" title="rvu\nrvy" alt="" coords="389,637,397,645"><area shape="rect" title="rv" alt="" coords="413,31,421,39"><area shape="rect" title="rv" alt="" coords="413,227,421,235"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="125,119,176,145"><area shape="rect" title="rv" alt="" coords="395,23,403,31"><area shape="rect" title="rv" alt="" coords="172,115,180,123"><area shape="rect" title="rvu\nrvy" alt="" coords="409,31,417,39"><area shape="rect" title="rvu\nrvy" alt="" coords="331,373,339,381"><area shape="rect" href="classdiffbifn.html" title="Class representing a differentiable function of two variables $f(x,u)$." alt="" coords="521,119,588,145"><area shape="rect" title="rvu\nrvx" alt="" coords="433,23,441,31"><area shape="rect" title="rvu\nrvx" alt="" coords="543,115,551,123"><area shape="rect" href="classfsqmat.html" title="Fake sqmat. This class maps sqmat operations to operations on full matrix." alt="" coords="177,377,244,404"><area shape="rect" title="_P\nQ\nR\n_Ry" alt="" coords="215,401,223,409"><area shape="rect" title="_P\nQ\nR\n_Ry" alt="" coords="353,637,361,645"><area shape="rect" href="classenorm.html" title="enorm\&lt; fsqmat \&gt;" alt="" coords="41,509,180,536"><area shape="rect" title="R" alt="" coords="203,401,211,409"><area shape="rect" title="R" alt="" coords="128,505,136,513"><area shape="rect" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square&#45;root form..." alt="" coords="193,231,255,257"><area shape="rect" title="est\nfy" alt="" coords="117,533,125,541"><area shape="rect" title="est\nfy" alt="" coords="291,643,299,651"><area shape="rect" href="classeEF.html" title="General conjugate exponential family posterior density." alt="" coords="52,231,97,257"><area shape="rect" href="classenorm.html" title="Gaussian density with positive definite (decomposed) covariance matrix." alt="" coords="33,377,153,404"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="91,401,99,409"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="105,505,113,513"><area shape="rect" title="R" alt="" coords="136,255,144,263"><area shape="rect" title="R" alt="" coords="95,373,103,381"><area shape="rect" title="_P\nQ\nR\n_Ry" alt="" coords="160,255,168,263"><area shape="rect" title="_P\nQ\nR\n_Ry" alt="" coords="311,373,319,381"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="328,401,336,409"><area shape="rect" title="\&lt; fsqmat \&gt;" alt="" coords="359,637,367,645"><area shape="rect" title="pfxu\nphxu" alt="" coords="548,143,556,151"><area shape="rect" title="pfxu\nphxu" alt="" coords="497,717,505,725"><area shape="rect" href="classfnc.html" title="Class representing function $f(x)$ of variable $x$ represented by rv." alt="" coords="549,7,589,33"></map>
41<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
42
43<p>
44<a href="classEKF-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
45<tr><td></td></tr>
46<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
47<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ea4f3254cacf0a92d2a820b1201d049e"></a><!-- doxytag: member="EKF::EKF" ref="ea4f3254cacf0a92d2a820b1201d049e" args="(RV rvx, RV rvy, RV rvu)" -->
48&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html#ea4f3254cacf0a92d2a820b1201d049e">EKF</a> (<a class="el" href="classRV.html">RV</a> rvx, <a class="el" href="classRV.html">RV</a> <a class="el" href="classKalman.html#7501230c2fafa3655887d2da23b3184c">rvy</a>, <a class="el" href="classRV.html">RV</a> <a class="el" href="classKalman.html#44a16ffd5ac1e6e39bae34fea9e1e498">rvu</a>)</td></tr>
49
50<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Default constructor. <br></td></tr>
51<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="28d058ae4d24d992d2f055419a06ee66"></a><!-- doxytag: member="EKF::set_parameters" ref="28d058ae4d24d992d2f055419a06ee66" args="(diffbifn *pfxu, diffbifn *phxu, const sq_T Q0, const sq_T R0)" -->
52void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html#28d058ae4d24d992d2f055419a06ee66">set_parameters</a> (<a class="el" href="classdiffbifn.html">diffbifn</a> *pfxu, <a class="el" href="classdiffbifn.html">diffbifn</a> *phxu, const sq_T Q0, const sq_T R0)</td></tr>
53
54<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set nonlinear functions for mean values and covariance matrices. <br></td></tr>
55<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c79c62c9b3e0b56b3aaa1b6f1d9a7af7"></a><!-- doxytag: member="EKF::bayes" ref="c79c62c9b3e0b56b3aaa1b6f1d9a7af7" args="(const vec &amp;dt)" -->
56void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKF.html#c79c62c9b3e0b56b3aaa1b6f1d9a7af7">bayes</a> (const vec &amp;dt)</td></tr>
57
58<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Here dt = [yt;ut] of appropriate dimensions. <br></td></tr>
59<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="239b28a0380946f5749b2f8d2807f93a"></a><!-- doxytag: member="EKF::set_parameters" ref="239b28a0380946f5749b2f8d2807f93a" args="(const mat &amp;A0, const mat &amp;B0, const mat &amp;C0, const mat &amp;D0, const fsqmat &amp;R0, const fsqmat &amp;Q0)" -->
60void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#239b28a0380946f5749b2f8d2807f93a">set_parameters</a> (const mat &amp;A0, const mat &amp;B0, const mat &amp;C0, const mat &amp;D0, const <a class="el" href="classfsqmat.html">fsqmat</a> &amp;R0, const <a class="el" href="classfsqmat.html">fsqmat</a> &amp;Q0)</td></tr>
61
62<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set parameters with check of relevance. <br></td></tr>
63<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="80bcf29466d9a9dd2b8f74699807d0c0"></a><!-- doxytag: member="EKF::set_est" ref="80bcf29466d9a9dd2b8f74699807d0c0" args="(const vec &amp;mu0, const fsqmat &amp;P0)" -->
64void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#80bcf29466d9a9dd2b8f74699807d0c0">set_est</a> (const vec &amp;mu0, const <a class="el" href="classfsqmat.html">fsqmat</a> &amp;P0)</td></tr>
65
66<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set estimate values, used e.g. in initialization. <br></td></tr>
67<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87b07867fd4c133aa89a18543f68d9f9"></a><!-- doxytag: member="EKF::bayes" ref="87b07867fd4c133aa89a18543f68d9f9" args="(mat Dt)" -->
68void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87b07867fd4c133aa89a18543f68d9f9">bayes</a> (mat Dt)</td></tr>
69
70<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr>
71<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a213c57aef55b2645e550bed81cfc0d4"></a><!-- doxytag: member="EKF::_epdf" ref="a213c57aef55b2645e550bed81cfc0d4" args="()" -->
72<a class="el" href="classepdf.html">epdf</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#a213c57aef55b2645e550bed81cfc0d4">_epdf</a> ()</td></tr>
73
74<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
75<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="980fcd41c6c548c5da7b8b67c8e6da79"></a><!-- doxytag: member="EKF::__K" ref="980fcd41c6c548c5da7b8b67c8e6da79" args="()" -->
76mat &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#980fcd41c6c548c5da7b8b67c8e6da79">__K</a> ()</td></tr>
77
78<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
79<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ac9540f3850b74d89a5fe4db6fc358ce"></a><!-- doxytag: member="EKF::_dP" ref="ac9540f3850b74d89a5fe4db6fc358ce" args="()" -->
80vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#ac9540f3850b74d89a5fe4db6fc358ce">_dP</a> ()</td></tr>
81
82<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
83<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="126bd2595c48e311fc2a7ab72876092a"></a><!-- doxytag: member="EKF::_rv" ref="126bd2595c48e311fc2a7ab72876092a" args="() const " -->
84const <a class="el" href="classRV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#126bd2595c48e311fc2a7ab72876092a">_rv</a> () const </td></tr>
85
86<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
87<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87f4a547d2c29180be88175e5eab9c88"></a><!-- doxytag: member="EKF::_ll" ref="87f4a547d2c29180be88175e5eab9c88" args="() const " -->
88double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87f4a547d2c29180be88175e5eab9c88">_ll</a> () const </td></tr>
89
90<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
91<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
92<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7501230c2fafa3655887d2da23b3184c"></a><!-- doxytag: member="EKF::rvy" ref="7501230c2fafa3655887d2da23b3184c" args="" -->
93<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#7501230c2fafa3655887d2da23b3184c">rvy</a></td></tr>
94
95<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Indetifier of output rv. <br></td></tr>
96<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="44a16ffd5ac1e6e39bae34fea9e1e498"></a><!-- doxytag: member="EKF::rvu" ref="44a16ffd5ac1e6e39bae34fea9e1e498" args="" -->
97<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#44a16ffd5ac1e6e39bae34fea9e1e498">rvu</a></td></tr>
98
99<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Indetifier of exogeneous rv. <br></td></tr>
100<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="39c8c403b46fa3b8c7da77cb2e3729eb"></a><!-- doxytag: member="EKF::dimx" ref="39c8c403b46fa3b8c7da77cb2e3729eb" args="" -->
101int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#39c8c403b46fa3b8c7da77cb2e3729eb">dimx</a></td></tr>
102
103<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rv.count() <br></td></tr>
104<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ba17b956df1e38b31fbbc299c8213b6a"></a><!-- doxytag: member="EKF::dimy" ref="ba17b956df1e38b31fbbc299c8213b6a" args="" -->
105int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#ba17b956df1e38b31fbbc299c8213b6a">dimy</a></td></tr>
106
107<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rvy.count() <br></td></tr>
108<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b0153795a1444b6968a86409c778d9ce"></a><!-- doxytag: member="EKF::dimu" ref="b0153795a1444b6968a86409c778d9ce" args="" -->
109int&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#b0153795a1444b6968a86409c778d9ce">dimu</a></td></tr>
110
111<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of rvu.count() <br></td></tr>
112<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5e02efe86ee91e9c74b93b425fe060b9"></a><!-- doxytag: member="EKF::A" ref="5e02efe86ee91e9c74b93b425fe060b9" args="" -->
113mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#5e02efe86ee91e9c74b93b425fe060b9">A</a></td></tr>
114
115<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix A. <br></td></tr>
116<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="dc87704284a6c0bca13bf51f4345a50a"></a><!-- doxytag: member="EKF::B" ref="dc87704284a6c0bca13bf51f4345a50a" args="" -->
117mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#dc87704284a6c0bca13bf51f4345a50a">B</a></td></tr>
118
119<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix B. <br></td></tr>
120<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="86a805cd6515872d1132ad0d6eb5dc13"></a><!-- doxytag: member="EKF::C" ref="86a805cd6515872d1132ad0d6eb5dc13" args="" -->
121mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#86a805cd6515872d1132ad0d6eb5dc13">C</a></td></tr>
122
123<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix C. <br></td></tr>
124<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d69f774ba3335c970c1c5b1d182f4dd1"></a><!-- doxytag: member="EKF::D" ref="d69f774ba3335c970c1c5b1d182f4dd1" args="" -->
125mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#d69f774ba3335c970c1c5b1d182f4dd1">D</a></td></tr>
126
127<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix D. <br></td></tr>
128<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9b69015c800eb93f3ee49da23a6f55d9"></a><!-- doxytag: member="EKF::Q" ref="9b69015c800eb93f3ee49da23a6f55d9" args="" -->
129<a class="el" href="classfsqmat.html">fsqmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#9b69015c800eb93f3ee49da23a6f55d9">Q</a></td></tr>
130
131<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix Q in square-root form. <br></td></tr>
132<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="11d171dc0e0ab111c56a70f98b97b3ec"></a><!-- doxytag: member="EKF::R" ref="11d171dc0e0ab111c56a70f98b97b3ec" args="" -->
133<a class="el" href="classfsqmat.html">fsqmat</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#11d171dc0e0ab111c56a70f98b97b3ec">R</a></td></tr>
134
135<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix R in square-root form. <br></td></tr>
136<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5568c74bac67ae6d3b1061dba60c9424"></a><!-- doxytag: member="EKF::est" ref="5568c74bac67ae6d3b1061dba60c9424" args="" -->
137<a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classfsqmat.html">fsqmat</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#5568c74bac67ae6d3b1061dba60c9424">est</a></td></tr>
138
139<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">posterior density on $x_t$ <br></td></tr>
140<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="e580ab06483952bd03f2e651763e184f"></a><!-- doxytag: member="EKF::fy" ref="e580ab06483952bd03f2e651763e184f" args="" -->
141<a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classfsqmat.html">fsqmat</a> &gt;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#e580ab06483952bd03f2e651763e184f">fy</a></td></tr>
142
143<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">preditive density on $y_t$ <br></td></tr>
144<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="d422f51467c7a06174af2476d2826132"></a><!-- doxytag: member="EKF::_K" ref="d422f51467c7a06174af2476d2826132" args="" -->
145mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#d422f51467c7a06174af2476d2826132">_K</a></td></tr>
146
147<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">placeholder for <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> gain <br></td></tr>
148<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="764bbc95238eda11fc81c5ebd0b1dcfd"></a><!-- doxytag: member="EKF::_yp" ref="764bbc95238eda11fc81c5ebd0b1dcfd" args="" -->
149vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#764bbc95238eda11fc81c5ebd0b1dcfd">_yp</a></td></tr>
150
151<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of fy.mu <br></td></tr>
152<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="45c9f928d2d62e0c884900fb3380f904"></a><!-- doxytag: member="EKF::_Ry" ref="45c9f928d2d62e0c884900fb3380f904" args="" -->
153<a class="el" href="classfsqmat.html">fsqmat</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#45c9f928d2d62e0c884900fb3380f904">_Ry</a></td></tr>
154
155<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of fy.R <br></td></tr>
156<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="fe803a81d2d847b0b1db3c6b29c18061"></a><!-- doxytag: member="EKF::_mu" ref="fe803a81d2d847b0b1db3c6b29c18061" args="" -->
157vec &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#fe803a81d2d847b0b1db3c6b29c18061">_mu</a></td></tr>
158
159<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of est.mu <br></td></tr>
160<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="9fb808cc94a4c2652e1fb93be9bb7dcf"></a><!-- doxytag: member="EKF::_P" ref="9fb808cc94a4c2652e1fb93be9bb7dcf" args="" -->
161<a class="el" href="classfsqmat.html">fsqmat</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalman.html#9fb808cc94a4c2652e1fb93be9bb7dcf">_P</a></td></tr>
162
163<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">cache of est.R <br></td></tr>
164<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="af00f0612fabe66241dd507188cdbf88"></a><!-- doxytag: member="EKF::rv" ref="af00f0612fabe66241dd507188cdbf88" args="" -->
165<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a></td></tr>
166
167<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Random variable of the posterior. <br></td></tr>
168<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="EKF::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" -->
169double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr>
170
171<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr>
172<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bf6fb59b30141074f8ee1e2f43d03129"></a><!-- doxytag: member="EKF::evalll" ref="bf6fb59b30141074f8ee1e2f43d03129" args="" -->
173bool&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#bf6fb59b30141074f8ee1e2f43d03129">evalll</a></td></tr>
174
175<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">If true, the filter will compute likelihood of the data record and store it in <code>ll</code> . Set to false if you want to save time. <br></td></tr>
176</table>
177<hr><a name="_details"></a><h2>Detailed Description</h2>
178<h3>template&lt;class sq_T&gt;<br>
179 class EKF&lt; sq_T &gt;</h3>
180
181Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter.
182<p>
183An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean. <hr>The documentation for this class was generated from the following file:<ul>
184<li>work/mixpp/bdm/estim/<a class="el" href="libKF_8h-source.html">libKF.h</a></ul>
185<hr size="1"><address style="text-align: right;"><small>Generated on Fri Apr 18 11:15:19 2008 for mixpp by&nbsp;
186<a href="http://www.doxygen.org/index.html">
187<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.3 </small></address>
188</body>
189</html>
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