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Add LTPDA Repository utility functions into utils.repository
author |
Daniele Nicolodi <nicolodi@science.unitn.it> |
date |
Mon, 05 Dec 2011 16:20:06 +0100 (2011-12-05) |
parents |
f0afece42f48 |
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<title>Power Spectral Density estimation (LTPDA Toolbox)</title>
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<td valign="baseline"><b>LTPDA Toolbox</b></td><td><a href="../helptoc.html">contents</a></td>
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<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
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<tt>ao/psd</tt>
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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>
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<td align="left">Topic 3 - Spectral Analysis</td>
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<td align="right">Example 1: Simply PSD</td>
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<p class="copy">©LTP Team</p>
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