+
−<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
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−  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>
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−    <li><a href="ltpda_training_topic_3_5.html">Exercises on Transfer Functions estimation</a> </li>
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−    <li><a href="ltpda_training_topic_3_6.html">IFO/Temperature Example -  Spectral Analysis</a> </li>
+
−  </ul>
+
−
+
− </p>