Mercurial > hg > ltpda
comparison m-toolbox/html_help/help/ug/sigproc_linear_param_estimation_svd.html @ 0:f0afece42f48
Import.
| author | Daniele Nicolodi <nicolodi@science.unitn.it> |
|---|---|
| date | Wed, 23 Nov 2011 19:22:13 +0100 |
| parents | |
| children |
comparison
equal
deleted
inserted
replaced
| -1:000000000000 | 0:f0afece42f48 |
|---|---|
| 1 <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" | |
| 2 "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd"> | |
| 3 | |
| 4 <html lang="en"> | |
| 5 <head> | |
| 6 <meta name="generator" content= | |
| 7 "HTML Tidy for Mac OS X (vers 1st December 2004), see www.w3.org"> | |
| 8 <meta http-equiv="Content-Type" content= | |
| 9 "text/html; charset=us-ascii"> | |
| 10 | |
| 11 <title>Linear Parameter Estimation with Singular Value Decomposition (LTPDA Toolbox)</title> | |
| 12 <link rel="stylesheet" href="docstyle.css" type="text/css"> | |
| 13 <meta name="generator" content="DocBook XSL Stylesheets V1.52.2"> | |
| 14 <meta name="description" content= | |
| 15 "Presents an overview of the features, system requirements, and starting the toolbox."> | |
| 16 </head> | |
| 17 | |
| 18 <body> | |
| 19 <a name="top_of_page" id="top_of_page"></a> | |
| 20 | |
| 21 <p style="font-size:1px;"> </p> | |
| 22 | |
| 23 <table class="nav" summary="Navigation aid" border="0" width= | |
| 24 "100%" cellpadding="0" cellspacing="0"> | |
| 25 <tr> | |
| 26 <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td> | |
| 27 | |
| 28 <td valign="baseline" align="right"><a href= | |
| 29 "sigproc_polyfit.html"><img src="b_prev.gif" border="0" align= | |
| 30 "bottom" alt="Polynomial Fitting"></a> <a href= | |
| 31 "sigproc_example_ao_linlsqsvd.html"><img src="b_next.gif" border="0" align= | |
| 32 "bottom" alt="Linear least squares with singular value deconposition - single experiment"></a></td> | |
| 33 </tr> | |
| 34 </table> | |
| 35 | |
| 36 <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Linear Parameter Estimation with Singular Value Decomposition</h1> | |
| 37 <hr> | |
| 38 | |
| 39 <p> | |
| 40 | |
| 41 <!-- ================================================== --> | |
| 42 <!-- BEGIN CONTENT FILE --> | |
| 43 <!-- ================================================== --> | |
| 44 <!-- ===== link box: Begin ===== --> | |
| 45 <p> | |
| 46 <table border="1" width="80%"> | |
| 47 <tr> | |
| 48 <td> | |
| 49 <table border="0" cellpadding="5" class="categorylist" width="100%"> | |
| 50 <colgroup> | |
| 51 <col width="37%"/> | |
| 52 <col width="63%"/> | |
| 53 </colgroup> | |
| 54 <tbody> | |
| 55 <tr valign="top"> | |
| 56 <td> | |
| 57 <a href="#linlsqsvd_1exp">ao/linlsqsvd</a> | |
| 58 </td> | |
| 59 <td>Linear least squares with singular value deconposition - single experiment.</td> | |
| 60 </tr> | |
| 61 <tr valign="top"> | |
| 62 <td> | |
| 63 <a href="#linlsqsvd_Nexp">matrix/linlsqsvd</a> | |
| 64 </td> | |
| 65 <td>Linear least squares with singular value deconposition - multiple experiments.</td> | |
| 66 </tr> | |
| 67 <tr valign="top"> | |
| 68 <td> | |
| 69 <a href="#linfitsvd1">matrix/linfitsvd</a> | |
| 70 </td> | |
| 71 <td>Iterative linear parameter estimation for multichannel systems - symbolic system model in frequency domain.</td> | |
| 72 </tr> | |
| 73 <tr valign="top"> | |
| 74 <td> | |
| 75 <a href="#linfitsvd2">matrix/linfitsvd</a> | |
| 76 </td> | |
| 77 <td>Iterative linear parameter estimation for multichannel systems - ssm system model in time domain.</td> | |
| 78 </tr> | |
| 79 <tr valign="top"> | |
| 80 <td> | |
| 81 <a href="#ref">References</a> | |
| 82 </td> | |
| 83 </tr> | |
| 84 </tbody> | |
| 85 </table> | |
| 86 </td> | |
| 87 </tr> | |
| 88 </table> | |
| 89 </p> | |
| 90 <!-- ===== link box: End ====== --> | |
| 91 | |
| 92 <p> | |
| 93 </p> | |
| 94 <p> | |
| 95 The following sections gives an introduction to the linear parameters | |
| 96 estimation methods based on singular value decomposition. | |
| 97 </p> | |
| 98 | |
| 99 <!-- ===== ao/linlsqsvd ====== --> | |
| 100 <h2><a name="#linlsqsvd_1exp">Linear least squares with singular value deconposition - single experiment.</a></h2> | |
| 101 <p> | |
| 102 We report an <a href="sigproc_example_ao_linlsqsvd.html">example</a> | |
| 103 of the application of <a href="matlab:doc('ao/linlsqsvd')">ao/linlsqsvd</a>. | |
| 104 The <a href="sigproc_example_ao_linlsqsvd.html">example</a> shows how to | |
| 105 perform a linear parameters estimation for a single data series which is | |
| 106 representing the output of an experiment on a given physical system. | |
| 107 </p> | |
| 108 | |
| 109 <!-- ===== matrix/linlsqsvd ====== --> | |
| 110 <h2><a name="#linlsqsvd_Nexp">Linear least squares with singular value deconposition - multiple experiments.</a></h2> | |
| 111 <p> | |
| 112 We report an <a href="sigproc_example_matrix_linlsqsvd.html">example</a> | |
| 113 of the application of <a href="matlab:doc('matrix/linlsqsvd')">matrix/linlsqsvd</a>. | |
| 114 The <a href="sigproc_example_matrix_linlsqsvd.html">example</a> shows how to | |
| 115 perform a linear parameters estimation for multiple data series which are | |
| 116 representing the output of multiple experiments on a given physical system. | |
| 117 </p> | |
| 118 | |
| 119 <!-- ===== matrix/linfitsvd ====== --> | |
| 120 <h2><a name="#linfitsvd1">Iterative linear parameter estimation for multichannel systems - symbolic system model in frequency domain.</a></h2> | |
| 121 <p> | |
| 122 We report an <a href="sigproc_example_matrix_linfitsvd.html">example</a> | |
| 123 of the application of <a href="matlab:doc('matrix/linfitsvd')">matrix/linfitsvd</a>. | |
| 124 The <a href="sigproc_example_matrix_linfitsvd.html">example</a> shows how to | |
| 125 perform an iterative linear parameters estimation for a multichannel system. | |
| 126 System model is analystic and frequency domain. Fit is performed in time domain. | |
| 127 Further details can be found in ref. [1]. | |
| 128 </p> | |
| 129 | |
| 130 <!-- ===== matrix/linfitsvd ====== --> | |
| 131 <h2><a name="#linfitsvd2">Iterative linear parameter estimation for multichannel systems - ssm system model in time domain.</a></h2> | |
| 132 <p> | |
| 133 We report an <a href="sigproc_example_matrix_linfitsvd_ssm.html">example</a> | |
| 134 of the application of <a href="matlab:doc('matrix/linfitsvd')">matrix/linfitsvd</a>. | |
| 135 The <a href="sigproc_example_matrix_linfitsvd_ssm.html">example</a> shows how to | |
| 136 perform an iterative linear parameters estimation for a multichannel system. | |
| 137 System model is ssm and time domain. Fit is performed in time domain. | |
| 138 </p> | |
| 139 | |
| 140 <h2><a name="#ref"> References</a></h2> | |
| 141 <ol> | |
| 142 <li> M Nofrarias, L Ferraioli, G Congedo, Comparison of parameter | |
| 143 estimates results in STOC Exercise 6, S2-AEI-TN-3070.</li> | |
| 144 </ol> | |
| 145 | |
| 146 | |
| 147 | |
| 148 | |
| 149 | |
| 150 </p> | |
| 151 | |
| 152 <br> | |
| 153 <br> | |
| 154 <table class="nav" summary="Navigation aid" border="0" width= | |
| 155 "100%" cellpadding="0" cellspacing="0"> | |
| 156 <tr valign="top"> | |
| 157 <td align="left" width="20"><a href="sigproc_polyfit.html"><img src= | |
| 158 "b_prev.gif" border="0" align="bottom" alt= | |
| 159 "Polynomial Fitting"></a> </td> | |
| 160 | |
| 161 <td align="left">Polynomial Fitting</td> | |
| 162 | |
| 163 <td> </td> | |
| 164 | |
| 165 <td align="right">Linear least squares with singular value deconposition - single experiment</td> | |
| 166 | |
| 167 <td align="right" width="20"><a href= | |
| 168 "sigproc_example_ao_linlsqsvd.html"><img src="b_next.gif" border="0" align= | |
| 169 "bottom" alt="Linear least squares with singular value deconposition - single experiment"></a></td> | |
| 170 </tr> | |
| 171 </table><br> | |
| 172 | |
| 173 <p class="copy">©LTP Team</p> | |
| 174 </body> | |
| 175 </html> |