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Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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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;">&nbsp;</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>&nbsp;&nbsp;&nbsp;<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>&nbsp;</td>
+
+      <td align="left">Discrete Derivative</td>
+
+      <td>&nbsp;</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">&copy;LTP Team</p>
+</body>
+</html>