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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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+
+  <h1 class="title"><a name="f3-12899" id="f3-12899"></a>How to filter data</h1>
+  <hr>
+  
+  <p>
+	<h2>How to filter data</h2>
+
+In the previous sections we've been dealing with continuous (in s domain) 
+systems. Now we want to apply this to data so we will need first to discretize 
+to obtain a digital filter to then apply it to the data. Another typical 
+application is not to derive the filter from a model but design it from the 
+properties we want it to have (cut-off frequency, order, lowpass...). 
+Both topics will be covered here with two examples:
+ 
+<nl>
+    <li><b>Obtain a digital filter from a model:</b> we continue with the previous
+    closed loop example to translate the obtained models into filters.</li>
+    <li><b>Define filter properties:</b> in this section we design a bandpass filter that will 
+  allow us to estimate the noise spectrum of interferometer data in the desired
+bandwidth.</li>
+</nl>
+
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+      <td align="left">Modelling a system</td>
+
+      <td>&nbsp;</td>
+
+      <td align="right">By discretizing transfer function models</td>
+
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+      "ltpda_training_topic_4_4_1.html"><img src="b_next.gif" border="0" align=
+      "bottom" alt="By discretizing transfer function models"></a></td>
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