<!-- $Id: class_desc_filterbank_content.html,v 1.1 2009/08/20 12:51:36 ingo Exp $ --><!-- ================================================== --><!-- BEGIN CONTENT FILE --><!-- ================================================== --><!-- ===== link box: Begin ===== --><p> <table border="1" width="80%"> <tr> <td> <table border="0" cellpadding="5" class="categorylist" width="100%"> <colgroup> <col width="37%"/> <col width="63%"/> </colgroup> <tbody> <tr valign="top"> <td> <a href="#Applyfiltdesc">Description</a> </td> <td>Digital filtering with LTPDA filters objects.</td> </tr> <tr valign="top"> <td> <a href="#Applyfiltexample">Examples</a> </td> <td>How to filter a data series in LTPDA.</td> </tr> </tbody> </table> </td> </tr> </table></p><!-- ===== link box: End ====== --><!-- ===== filtering in LTPDA description ===== --><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>.</p><!-- ===== Examples ===== --><h2><a name="Applyfiltexample">Examples</a></h2><p> 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:</p><div class="fragment"><pre> a_out = filter(a_in,fobj)</pre></div><p> 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.</p><p> The filter object <tt>fobj</tt> can be also embedded in a plist</p><div class="fragment"><pre> pl = plist(<span class="string">'filter'</span>, fobj); a_out = filter(a_in,pl)</pre></div>