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annotate m-toolbox/test/test_miir_redesign.m @ 28:01b86b780ba7 database-connection-manager

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Remove LTPDARepositoryManager implementation. Java code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % When the filter command is given a standard filter designed for a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % different sample rate than the input data, we should redesign the filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % on the fly. This can be done since the filter object contains the plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % that was used to design it.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % M Hewitson 04-04-07
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % $Id: test_miir_redesign.m,v 1.9 2009/07/21 05:16:29 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 function test_miir_redesign()
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10
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11
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % Make a filter
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13 pl = plist('type', 'bandpass', 'fs', 1000, 'fc', [50 100], 'order', 3);
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14 f = miir(pl)
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15
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16
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % Make test AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 nsecs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 fs = 5000;
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20 pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'sin(2*pi*7.433*t) + randn(size(t))');
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21
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22 a1 = ao(pl);
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % Filter the input data
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25 [a2, f] = filter(a1,plist('filter', f));
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26
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % Plot time-series
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28 iplot(a1, a2)
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 % Make PSDs of input and output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 nfft = 16384;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 w = specwin('Hanning', nfft);
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33 pl = plist('Win', w, 'Nfft', nfft);
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34
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35 a3 = psd(a1, pl);
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36 a4 = psd(a2, pl);
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % Plot PSDs
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39 iplot([a3 a4])
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40
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41 end
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42 % END
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