annotate m-toolbox/test/test_noisegen_vpa.m @ 16:91f21a0aab35 database-connection-manager

Update utils.jquery * * * Update utils.jmysql.getsinfo
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 function test_noisegen_vpa()
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2
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3 % TEST_NOISEGEN tests the Franklin noise-generator algorithm.
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4 %
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5 % this is an example from 'Generation of Random time series with prescribed
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6 % spectra' by Gerhard Heinzel
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7 %
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8 % $Id: test_noisegen_vpa.m,v 1.2 2008/09/19 14:03:50 ingo Exp $%
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9
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10
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11
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12 %% poles and zeros
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13 p1 = pz(1);
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14 p2 = pz(10,2);
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15 p3 = pz(1,4);
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16
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17 z1 = pz(5);
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18 z2 = pz(50);
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19 % z2 = pz(3);
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20 gain =1;
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21 %% convert to get a and b coefficients
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22 %pole zero model
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23 pzm = pzmodel(gain, [p1 p2 p3],[z1 z2]);
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24 % parameter list for ltpda_noisegen
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25 pl = plist();
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26 pl = append(pl, param('nsecs', 7200));
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27 pl = append(pl, param('fs', 100));
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28 pl = append(pl, param('pzmodel', pzm));
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29 pl = append(pl, param('ndigits', 30));
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30 %% calling the noisegenerator
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31 % [b, pl1, pl2] = ltpda_noisegen(pl);
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32 tic
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33 [b, pl1, pl2] = ao.ngsetup_vpa(pl);
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34 pl
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35 b = set(b, 't0', '2007-07-19 12:00:00');
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36 toc
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37 tic
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38 [b2, pl3, pl4] = ltpda_noisegen_vpa(pl1,pl2);
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39 b2 = set(b2, 't0', '2007-07-19 14:00:00');
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40 toc
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41 %% Make LPSD
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42 % Window function
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43 w = specwin('Kaiser', 10, 150);
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44 % parameter list for lpsd
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45 pl = plist();
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46 pl = append(pl, param('Kdes', 100));
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47 pl = append(pl, param('Kmin', 2));
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48 pl = append(pl, param('Jdes', 200));
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49 pl = append(pl, param('Win', w));
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50 pl = append(pl, param('scale','ASD'));
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51 % LPSD
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52 alpsd = ltpda_lpsd(b, pl); % matlab
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53 a_vpa = ltpda_lpsd(b2, pl); % matlab
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54
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55 % a2lpsd = ltpda_lpsd(b2, pl);
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56 % %
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57 %% Plot
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58 iplot([b b2])
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59 iplot([alpsd a_vpa abs(resp(pzm))])
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