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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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  <title>Topic 3 - Spectral Analysis (LTPDA Toolbox)</title>
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  <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_2_9.html"><img src="b_prev.gif" border="0" align=
      "bottom" alt="IFO/Temperature Example - Pre-processing"></a>&nbsp;&nbsp;&nbsp;<a href=
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      "bottom" alt="Power Spectral Density estimation"></a></td>
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  <h1 class="title"><a name="f3-12899" id="f3-12899"></a>Topic 3 - Spectral Analysis</h1>
  <hr>
  
  <p>
	<p>
  Training session 3 is a tutorial of how to estimate spectral
  properties of the signals, employing the instruments provided by the
  LTPDA Toolbox. As described in the devoted User Manual <a
  href="sigproc_spec.html"> section</a>, spectral estimation is a
  branch of the signal processing, performed on data and based on
  frequency-domain techniques.
 </p>
 <p>The focus of the tools is on
  time-series objects, whose spectral content needs to be estimated.
  </p>
<p>
We will learn here how to use the tools to evaluate univariate and
  multivariate analyses. </p>
 <p>  The topic is divided as follows:  
  
  <ul>
    <li><a href="ltpda_training_topic_3_2.html">Exercises on Power
    Spectral Density estimation</a> </li>
    <li><a href="ltpda_training_topic_3_5.html">Exercises on Transfer Functions estimation</a> </li>
    <li><a href="ltpda_training_topic_3_6.html">IFO/Temperature Example -  Spectral Analysis</a> </li>
  </ul>

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      "b_prev.gif" border="0" align="bottom" alt=
      "IFO/Temperature Example - Pre-processing"></a>&nbsp;</td>

      <td align="left">IFO/Temperature Example - Pre-processing</td>

      <td>&nbsp;</td>

      <td align="right">Power Spectral Density estimation</td>

      <td align="right" width="20"><a href=
      "ltpda_training_topic_3_2.html"><img src="b_next.gif" border="0" align=
      "bottom" alt="Power Spectral Density estimation"></a></td>
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  <p class="copy">&copy;LTP Team</p>
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