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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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11 <title>Power Spectral Density estimation (LTPDA Toolbox)</title>
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26 <td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td>
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28 <td valign="baseline" align="right"><a href=
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32 "bottom" alt="Example 1: Simply PSD"></a></td>
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35
36 <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Power Spectral Density estimation</h1>
37 <hr>
38
39 <p>
40 <p>In this subsection we will focus on the evaluation of the PSD
41 (Power Spectral Density) for a given time-series signal. The
42 functionality is provided by a method of the <tt>ao</tt> class called
43 <p>
44 <table cellspacing="0" class="note" summary="Note" cellpadding="5" border="1">
45 <tr width="90%">
46 <td>
47 <tt>ao/psd</tt>
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51 </p>
52 which implements the Welch method of averaging modified periodograms (also referred to
53 as WOSA). More details can found in the dedicated <a href="sigproc_psd.html" >section</a> of the user manual.
54 </p>
55 <p>In this tutorial, we propose the following exercises based on the
56 estimation of the PSD of suitable time-series data:</p>
57 <p>
58 <ol>
59 <li><a href="ltpda_training_topic_3_2_1.html" >Simply PSD</a>: a very basic starting exercise</li>
60 <li><a href="ltpda_training_topic_3_2_2.html" >Windowing data</a>: introducing the usage of segment averaging/windwing/detrending</li>
61 <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>
62 </ol></p>
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73 "Topic 3 - Spectral Analysis"></a>&nbsp;</td>
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75 <td align="left">Topic 3 - Spectral Analysis</td>
76
77 <td>&nbsp;</td>
78
79 <td align="right">Example 1: Simply PSD</td>
80
81 <td align="right" width="20"><a href=
82 "ltpda_training_topic_3_2_1.html"><img src="b_next.gif" border="0" align=
83 "bottom" alt="Example 1: Simply PSD"></a></td>
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