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Update unit tests
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Daniele Nicolodi <nicolodi@science.unitn.it> |
date |
Wed, 07 Dec 2011 17:24:37 +0100 (2011-12-07) |
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<h1 class="title"><a name="f3-12899" id="f3-12899"></a>Applying digital filters to data</h1>
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<a href="#Applyfiltdesc">Description</a>
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<td>Digital filtering with LTPDA filters objects.</td>
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<a href="#Applyfiltexample">Examples</a>
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<td>How to filter a data series in LTPDA.</td>
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<h2><a name="Applyfiltdesc">Description</a></h2>
<p>
Digital filtering in LTPDA can be performed by a call to the <tt>ao/filter</tt> method.
<tt>ao/filter</tt> method is a wrapper of the standard MATLAB filter method.
Details of the core algorithm can be found in the proper
<a href="matlab:doc('filter')">documentation page</a>.
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<h2><a name="Applyfiltexample">Examples</a></h2>
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Given an input analysis object (can be a time series or a frequency series object)
<tt>a_in</tt>, digital filtering operation can be easily performed:
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<div class="fragment"><pre>
a_out = filter(a_in,fobj)
</pre></div>
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Where <tt>fobj</tt> is a filter. It can be a <a href="sigproc_iir.html">MIIR</a>,
a <a href="sigproc_fir.html">MFIR</a>
or a <a href="sigproc_filterbanks.html">FILTERBANK</a> object.
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<p>
The filter object <tt>fobj</tt> can be also embedded in a plist
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<div class="fragment"><pre>
pl = plist(<span class="string">'filter'</span>, fobj);
a_out = filter(a_in,pl)
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