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Clarify ltpda_uo.retrieve parameters handling
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % function test_ao_ltfe()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % Test tfe functionality.
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3 %
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4 % M Hewitson 13-02-07
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5 %
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6 % $Id: test_ao_ltfe.m,v 1.1 2009/03/26 08:48:10 miquel Exp $
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7 %
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8
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9 %% Make test AOs
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10
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11 nsecs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 fs = 1000;
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13
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14 pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'sin(2*pi*7.433*t) + randn(size(t))');
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15
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16 a1 = ao(pl);
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17 a1 = a1.setName('input');
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18
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19 pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'sin(2*pi*17.433*t) + 10*randn(size(t))');
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20
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21 a3 = ao(pl);
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22 a3 = a1.setName('input');
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23
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24 %% Filter one time-series
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25
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26 % Make a filter
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27 f1 = miir(plist('type', 'highpass', 'fc', 20, 'fs', fs));
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28
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29 % Filter the input data
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30 [a2, f1] = filter(a1,plist('filter', f1));
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31
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32
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33 %% Make TF from a1 to a
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34
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35 pl = plist('win', 'Hanning', 'order', -1,'Variance','yes');
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36 t1 = ltfe(a1,a2,pl);
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37
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38 %% Use MATLAB directly
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39
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40 [txy, f] = tfestimate(a1.data.y, a2.data.y, win.win, Nfft/2, Nfft, a1.data.fs);
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41 t2 = ao(fsdata(f.', txy.'));
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42
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43 %% Plot
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44
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45 iplot(t1, t2, plist('LineStyles', {'', '--'},'YErrU',{t1.data.dy,''}))
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46 % iplot(t1(1,2)./t2')
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47