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| author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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| date | Wed, 23 Nov 2011 19:22:13 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/html_help/help/ug/sigproc_linear_param_estimation_svd.html Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,175 @@ +<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" + "http://www.w3.org/TR/1999/REC-html401-19991224/loose.dtd"> + +<html lang="en"> +<head> + <meta name="generator" content= + "HTML Tidy for Mac OS X (vers 1st December 2004), see www.w3.org"> + <meta http-equiv="Content-Type" content= + "text/html; charset=us-ascii"> + + <title>Linear Parameter Estimation with Singular Value Decomposition (LTPDA Toolbox)</title> + <link rel="stylesheet" href="docstyle.css" type="text/css"> + <meta name="generator" content="DocBook XSL Stylesheets V1.52.2"> + <meta name="description" content= + "Presents an overview of the features, system requirements, and starting the toolbox."> + </head> + +<body> + <a name="top_of_page" id="top_of_page"></a> + + <p style="font-size:1px;"> </p> + + <table class="nav" summary="Navigation aid" border="0" width= + "100%" cellpadding="0" cellspacing="0"> + <tr> + <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td> + + <td valign="baseline" align="right"><a href= + "sigproc_polyfit.html"><img src="b_prev.gif" border="0" align= + "bottom" alt="Polynomial Fitting"></a> <a href= + "sigproc_example_ao_linlsqsvd.html"><img src="b_next.gif" border="0" align= + "bottom" alt="Linear least squares with singular value deconposition - single experiment"></a></td> + </tr> + </table> + + <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Linear Parameter Estimation with Singular Value Decomposition</h1> + <hr> + + <p> + + <!-- ================================================== --> + <!-- BEGIN CONTENT FILE --> + <!-- ================================================== --> + <!-- ===== link box: Begin ===== --> + <p> + <table border="1" width="80%"> + <tr> + <td> + <table border="0" cellpadding="5" class="categorylist" width="100%"> + <colgroup> + <col width="37%"/> + <col width="63%"/> + </colgroup> + <tbody> + <tr valign="top"> + <td> + <a href="#linlsqsvd_1exp">ao/linlsqsvd</a> + </td> + <td>Linear least squares with singular value deconposition - single experiment.</td> + </tr> + <tr valign="top"> + <td> + <a href="#linlsqsvd_Nexp">matrix/linlsqsvd</a> + </td> + <td>Linear least squares with singular value deconposition - multiple experiments.</td> + </tr> + <tr valign="top"> + <td> + <a href="#linfitsvd1">matrix/linfitsvd</a> + </td> + <td>Iterative linear parameter estimation for multichannel systems - symbolic system model in frequency domain.</td> + </tr> + <tr valign="top"> + <td> + <a href="#linfitsvd2">matrix/linfitsvd</a> + </td> + <td>Iterative linear parameter estimation for multichannel systems - ssm system model in time domain.</td> + </tr> + <tr valign="top"> + <td> + <a href="#ref">References</a> + </td> + </tr> + </tbody> + </table> + </td> + </tr> + </table> + </p> + <!-- ===== link box: End ====== --> + + <p> + </p> + <p> + The following sections gives an introduction to the linear parameters + estimation methods based on singular value decomposition. + </p> + + <!-- ===== ao/linlsqsvd ====== --> + <h2><a name="#linlsqsvd_1exp">Linear least squares with singular value deconposition - single experiment.</a></h2> + <p> + We report an <a href="sigproc_example_ao_linlsqsvd.html">example</a> + of the application of <a href="matlab:doc('ao/linlsqsvd')">ao/linlsqsvd</a>. + The <a href="sigproc_example_ao_linlsqsvd.html">example</a> shows how to + perform a linear parameters estimation for a single data series which is + representing the output of an experiment on a given physical system. + </p> + + <!-- ===== matrix/linlsqsvd ====== --> + <h2><a name="#linlsqsvd_Nexp">Linear least squares with singular value deconposition - multiple experiments.</a></h2> + <p> + We report an <a href="sigproc_example_matrix_linlsqsvd.html">example</a> + of the application of <a href="matlab:doc('matrix/linlsqsvd')">matrix/linlsqsvd</a>. + The <a href="sigproc_example_matrix_linlsqsvd.html">example</a> shows how to + perform a linear parameters estimation for multiple data series which are + representing the output of multiple experiments on a given physical system. + </p> + + <!-- ===== matrix/linfitsvd ====== --> + <h2><a name="#linfitsvd1">Iterative linear parameter estimation for multichannel systems - symbolic system model in frequency domain.</a></h2> + <p> + We report an <a href="sigproc_example_matrix_linfitsvd.html">example</a> + of the application of <a href="matlab:doc('matrix/linfitsvd')">matrix/linfitsvd</a>. + The <a href="sigproc_example_matrix_linfitsvd.html">example</a> shows how to + perform an iterative linear parameters estimation for a multichannel system. + System model is analystic and frequency domain. Fit is performed in time domain. + Further details can be found in ref. [1]. + </p> + + <!-- ===== matrix/linfitsvd ====== --> + <h2><a name="#linfitsvd2">Iterative linear parameter estimation for multichannel systems - ssm system model in time domain.</a></h2> + <p> + We report an <a href="sigproc_example_matrix_linfitsvd_ssm.html">example</a> + of the application of <a href="matlab:doc('matrix/linfitsvd')">matrix/linfitsvd</a>. + The <a href="sigproc_example_matrix_linfitsvd_ssm.html">example</a> shows how to + perform an iterative linear parameters estimation for a multichannel system. + System model is ssm and time domain. Fit is performed in time domain. + </p> + + <h2><a name="#ref"> References</a></h2> + <ol> + <li> M Nofrarias, L Ferraioli, G Congedo, Comparison of parameter + estimates results in STOC Exercise 6, S2-AEI-TN-3070.</li> + </ol> + + + + + + </p> + + <br> + <br> + <table class="nav" summary="Navigation aid" border="0" width= + "100%" cellpadding="0" cellspacing="0"> + <tr valign="top"> + <td align="left" width="20"><a href="sigproc_polyfit.html"><img src= + "b_prev.gif" border="0" align="bottom" alt= + "Polynomial Fitting"></a> </td> + + <td align="left">Polynomial Fitting</td> + + <td> </td> + + <td align="right">Linear least squares with singular value deconposition - single experiment</td> + + <td align="right" width="20"><a href= + "sigproc_example_ao_linlsqsvd.html"><img src="b_next.gif" border="0" align= + "bottom" alt="Linear least squares with singular value deconposition - single experiment"></a></td> + </tr> + </table><br> + + <p class="copy">©LTP Team</p> +</body> +</html>