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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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+  <title>Power Spectral Density estimation (LTPDA Toolbox)</title>
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+  "Presents an overview of the features, system requirements, and starting the toolbox.">
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+  <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=
+      "ltpda_training_topic_3.html"><img src="b_prev.gif" border="0" align=
+      "bottom" alt="Topic 3 - Spectral Analysis"></a>&nbsp;&nbsp;&nbsp;<a href=
+      "ltpda_training_topic_3_2_1.html"><img src="b_next.gif" border="0" align=
+      "bottom" alt="Example 1: Simply PSD"></a></td>
+    </tr>
+  </table>
+
+  <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Power Spectral Density estimation</h1>
+  <hr>
+  
+  <p>
+	<p>In this subsection we will focus on the evaluation of the PSD
+(Power Spectral Density) for a given time-series signal. The
+functionality is provided by a method of the <tt>ao</tt> class called
+<p>
+  <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1">
+    <tr width="90%">
+      <td>
+        <tt>ao/psd</tt>
+      </td>
+    </tr>
+  </table>
+</p>
+which implements the Welch method of averaging modified periodograms (also referred to
+as WOSA). More details can found in the dedicated <a href="sigproc_psd.html" >section</a> of the user manual.
+</p>
+<p>In this tutorial, we propose the following exercises based on the
+estimation of the PSD of suitable time-series data:</p>
+<p>
+<ol>
+  <li><a href="ltpda_training_topic_3_2_1.html" >Simply PSD</a>: a very basic starting exercise</li>
+  <li><a href="ltpda_training_topic_3_2_2.html" >Windowing data</a>: introducing the usage of segment averaging/windwing/detrending</li>
+  <li><a href="ltpda_training_topic_3_2_3.html" >Log-scale PSD on MDC1 data</a>: a "realistic" example from the first LTPDA Mock Data Challenge, employing the log-scale PSD estimation method</li>
+</ol></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="ltpda_training_topic_3.html"><img src=
+      "b_prev.gif" border="0" align="bottom" alt=
+      "Topic 3 - Spectral Analysis"></a>&nbsp;</td>
+
+      <td align="left">Topic 3 - Spectral Analysis</td>
+
+      <td>&nbsp;</td>
+
+      <td align="right">Example 1: Simply PSD</td>
+
+      <td align="right" width="20"><a href=
+      "ltpda_training_topic_3_2_1.html"><img src="b_next.gif" border="0" align=
+      "bottom" alt="Example 1: Simply PSD"></a></td>
+    </tr>
+  </table><br>
+
+  <p class="copy">&copy;LTP Team</p>
+</body>
+</html>