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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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<!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>Spectral Estimation (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_diff.html"><img src="b_prev.gif" border="0" align= "bottom" alt="Discrete Derivative"></a> <a href= "sigproc_intro.html"><img src="b_next.gif" border="0" align= "bottom" alt="Introduction"></a></td> </tr> </table> <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Spectral Estimation</h1> <hr> <p> <p> Spectral estimation is a branch of the signal processing, performed on data and based on frequency-domain techniques.<br> Within the LTPDA toolbox many functions of the Matlab <a href="matlab:doc('signal')" >Signal Processing Toolbox</a> (which is required) were rewritten to operate on LTPDA Analysis Objects. Univariate and multivariate technique are available, so to estimate for example the linear power spectral density or the cross spectral density of one or more signals. The focus of the tools is on time-series objects, whose spectral content needs to be estimated.<br> More detailed help on spectral estimation can also be found in the help associated with the Signal Processing Toolbox: <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1"> <tr width="90%"> <td> >> doc signal </td> </tr> </table> </p> </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_diff.html"><img src= "b_prev.gif" border="0" align="bottom" alt= "Discrete Derivative"></a> </td> <td align="left">Discrete Derivative</td> <td> </td> <td align="right">Introduction</td> <td align="right" width="20"><a href= "sigproc_intro.html"><img src="b_next.gif" border="0" align= "bottom" alt="Introduction"></a></td> </tr> </table><br> <p class="copy">©LTP Team</p> </body> </html>