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

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Update utils.jquery * * * Update utils.jmysql.getsinfo
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 % function test_ao_firwhiten
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % A test script for ao/firwhiten
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % M Hewitson 21-04-08
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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 % $Id: test_ao_firwhiten.m,v 1.5 2009/08/26 18:27:06 luigi Exp $
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 mc
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 %% Make an AO
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12
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 nsecs = 1e3;
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15
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % pole zero model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 pzm = pzmodel(2, [pz(0.1, 2) pz(0.5, 1)] , [pz(0.8) pz(1, 2)]);
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18
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % parameter list for ltpda_noisegen
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 pl = append(pl, param('nsecs', nsecs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 pl = append(pl, param('fs', fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % calling the noisegenerator
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 a = fngen(pzm, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % a = set(a, 'yunits', 'V');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % Make series of sine waves
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 % s = ao(plist('waveform', 'sine wave', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % 'A', [0.1 1 0.1], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % 'f', [3.3 0.42 1.23], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % 'phi', [0 0 0], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % 'fs', fs, 'nsecs', nsecs));
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 s = ao(plist('tsfcn', '0.05*sin(2*pi*1.23*t)', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 'fs', fs, 'nsecs', nsecs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % s = ao(plist('waveform', 'sine wave', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % 'A', [0.05], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % 'f', [1.23], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 % 'phi', [0], ...
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42 % 'fs', fs, 'nsecs', nsecs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % Add signal and noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 a = a + s;
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46
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47 %% Whiten
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 Nfft = fs*100;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 [aw, ffs, nfs] = firwhiten(a, plist('Ntaps', 1024, 'Nfft', Nfft));
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % plot filter response
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 iplot(resp(ffs))
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53
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 %% Remove end effects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 spl = plist('split_type', 'times', 'times', [10 -20]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 a = timeshift(split(a, spl));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 aw = timeshift(split(aw, spl));
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60
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 %% Compare time-series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 iplot(a,aw, plist('Arrangement', 'subplots', 'XRanges', {'All', [0 10]}))
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63
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64 %% Compare spectra
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65
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 pxx = pwelch(a, aw, plist('Nfft', fs*100));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 iplot(pxx)
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68
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69 %% Help test
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 a = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 1e5, 'yunits','m'));
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 pl = plist('type','bandpass', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 'order',3, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 'gain',1, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 'fc',[0.03 0.1], ...
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79 'fs',fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 ft = miir(pl);
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81
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82 % coloring white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 af = filter(a, ft);
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84
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 % firwhiten
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 [aw, ffs, nfs] = firwhiten(af, plist('Ntaps', 5000, 'Nfft', 1e5, 'BW', 5));
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87
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 awxx = aw.psd;
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89 afxx = af.psd;
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90
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 iplot(afxx,awxx)
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92
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93 % END