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annotate m-toolbox/test/test_ao_buildWhitener1D.m @ 33:5e7477b94d94 database-connection-manager

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % A test script for ao/buildWhitener1D
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % M Hewitson 10-11-08
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % $Id: test_ao_buildWhitener1D.m,v 1.1 2010/05/04 07:14:17 mauro Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %% Make test data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 a = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 10000, 'yunits', 'N'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 pzm = pzmodel(1e-2, {0.01}, {0.1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 ft = miir(pzm,plist('fs',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 af = filter(a, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 rsp = pzm.resp;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 rsmm = resp(ft,plist('f',logspace(-4,log10(5),100)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 iplot(rsp,rsmm)
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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 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 pl_psd = plist('scale', 'PSD', 'order', 1, 'navs', 16);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 axx = a.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 afxx = af.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 iplot(axx,afxx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 %% Build whitening filter it with no model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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35 'PoleType', 1, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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40 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 'FITTOL', 1e-1); % tolerance on MSE Value
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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 awf = buildWhitener1D(af, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 %% Whiten with a model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 mdl = (abs(rsp).^2).*(2/fs); % this corresponds to the theoretical psd of the data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 mdl.setYunits(axx.yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 'MaxIter', 50, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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54 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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55 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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56 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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57 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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58 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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59 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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60 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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61 'FITTOL', 1e-2); % tolerancee on MSE Value
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 awmf = buildWhitener1D(mdl, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 aw = filter(af, awf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 awm = filter(af, awmf);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 iplot(aw, awm)
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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 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 awxx = aw.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 awmxx = awm.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 iplot(axx, afxx, awxx, awmxx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 %% Testing flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 svec = [axx.data.y afxx.data.y awxx.data.y awmxx.data.y];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 fc = utils.math.spflat(svec);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 %% Working with multiple inputs %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 10000, 'yunits', 'V'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 a2 = ao(plist('tsfcn', 'randn(size(t)).''', 'fs', fs, 'nsecs', 10000, 'yunits', 'T'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 pzm = pzmodel(1e-2, {0.01}, {0.1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 ft = miir(pzm,plist('fs',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 af1 = filter(a1, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 af2 = filter(a2, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 'FITTOL', 1e-2); % tolerance on fit residuals spectral flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 [awf1,awf2] = buildWhitener1D(af1,af2,pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 iplot(filter(af1, awf1),filter(af2, awf2))
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 %% help test
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 % Generate white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 a = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 1e5, 'yunits','m'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 ft = miir(plist('type','bandpass','order',3,'gain',1,'fc',[0.03 0.1],'fs',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 % coloring white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 af = filter(a, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 % Whitening colored noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 'MinOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 'MaxOrder', 15, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 'MSEVARTOL', 1e-1,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 'FITTOL', 5e-2); % tolerance on fit residuals spectral flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 aw = buildWhitener1D(af,pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 % Calculate psd of colored and whitened data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 afxx = af.psd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 awxx = af.filter(aw).psd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 % plotting
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 iplot(afxx,awxx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 % END