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    r261 r280  
    66</head><body> 
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    3272<a name="l00025"></a>00025 <span class="keywordtype">double</span> minQ(<span class="keywordtype">double</span> Q); 
    3373<a name="l00026"></a>00026  
    34 <a name="l00032"></a><a class="code" href="classEKFfixed.html">00032</a> <span class="keyword">class </span><a class="code" href="classEKFfixed.html" title="Extended Kalman Filter with full matrices in fixed point arithmetic.">EKFfixed</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1BM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a>, <span class="keyword">public</span> <a class="code" href="classbdm_1_1BMcond.html" title="Conditional Bayesian Filter.">BMcond</a> { 
     74<a name="l00032"></a><a class="code" href="classEKFfixed.html">00032</a> <span class="keyword">class </span><a class="code" href="classEKFfixed.html" title="Extended Kalman Filter with full matrices in fixed point arithmetic.">EKFfixed</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1BM.html" title="Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.">BM</a>, <span class="keyword">public</span> <a class="code" href="classbdm_1_1BMcond.html" title="Conditional Bayesian Filter.">BMcond</a> { 
    3575<a name="l00033"></a>00033 <span class="keyword">public</span>: 
    3676<a name="l00034"></a>00034 <span class="keywordtype">void</span> init_ekf(<span class="keywordtype">double</span> Tv); 
     
    65105<a name="l00063"></a>00063    
    66106<a name="l00064"></a>00064 <span class="keyword">public</span>: 
    67 <a name="l00066"></a><a class="code" href="classEKFfixed.html#64d7b1a39c27b1846bcd5628928748ef">00066</a>         <a class="code" href="classEKFfixed.html#64d7b1a39c27b1846bcd5628928748ef" title="Default constructor.">EKFfixed</a> ( <a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> rvx,<a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classbdm_1_1BMcond.html#9a12750776d977408aada06a70093297" title="Identificator of the conditioning variable.">rvc</a> ):<a class="code" href="classbdm_1_1BM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a>(rvx),<a class="code" href="classbdm_1_1BMcond.html" title="Conditional Bayesian Filter.">BMcond</a>(rvc),E(rvx),Ry(2,2){ 
     107<a name="l00066"></a><a class="code" href="classEKFfixed.html#05d1f11bd56305420b56fe83ada6e586">00066</a>         <a class="code" href="classEKFfixed.html#05d1f11bd56305420b56fe83ada6e586" title="Default constructor.">EKFfixed</a> ():<a class="code" href="classbdm_1_1BM.html" title="Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities.">BM</a>(),<a class="code" href="classbdm_1_1BMcond.html" title="Conditional Bayesian Filter.">BMcond</a>(),E(),Ry(2,2){ 
    68108<a name="l00067"></a>00067         <span class="keywordtype">int</span> i; 
    69109<a name="l00068"></a>00068  <span class="keywordflow">for</span>(i=0;i&lt;16;i++){Q[i]=0;} 
     
    85125<a name="l00084"></a>00084 }; 
    86126<a name="l00086"></a>00086         <span class="keywordtype">void</span> <a class="code" href="classEKFfixed.html#ddf5334bc1207658fd53698fffbac028" title="Here dt = [yt;ut] of appropriate dimensions.">bayes</a> ( <span class="keyword">const</span> vec &amp;dt ); 
    87 <a name="l00088"></a><a class="code" href="classEKFfixed.html#085cf16c573eda32d8d03619c6c4b518">00088</a>         <a class="code" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>&amp; <a class="code" href="classEKFfixed.html#085cf16c573eda32d8d03619c6c4b518" title="dummy!">_epdf</a>(){<span class="keywordflow">return</span> E;}; 
     127<a name="l00088"></a><a class="code" href="classEKFfixed.html#f3979e5514fe4278a519ba4481e287ac">00088</a>         <a class="code" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>&amp; <a class="code" href="classEKFfixed.html#f3979e5514fe4278a519ba4481e287ac" title="dummy!">posterior</a>(){<span class="keywordflow">return</span> E;}; 
    88128<a name="l00089"></a><a class="code" href="classEKFfixed.html#c7fee79e75ad7f0c0e96c5a322cbf44e">00089</a>         <span class="keywordtype">void</span> <a class="code" href="classEKFfixed.html#c7fee79e75ad7f0c0e96c5a322cbf44e" title="Substitute val for rvc.">condition</a> ( <span class="keyword">const</span> vec &amp;Q0 ) { 
    89129<a name="l00090"></a>00090                  
     
    101141<a name="l00102"></a>00102  
    102142</pre></div></div> 
    103 <hr size="1"><address style="text-align: right;"><small>Generated on Fri Feb 6 12:16:27 2009 for mixpp by&nbsp; 
     143<hr size="1"><address style="text-align: right;"><small>Generated on Wed Feb 18 17:38:39 2009 for mixpp by&nbsp; 
    104144<a href="http://www.doxygen.org/index.html"> 
    105145<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>