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annotate m-toolbox/test/test_ao_whiten1D.m @ 41:6def6533cb16 database-connection-manager

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 18:04:34 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % A test script for ao/whiten1D
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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_whiten1D.m,v 1.14 2010/05/05 04:19:42 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 %% Whiten 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 'model', [], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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35 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36 'PoleType', 1, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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39 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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40 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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41 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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42 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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43 'FITTOL', 1e-1); % tolerance on MSE Value
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 aw = whiten1D(af,pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 %% Whiten with a model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 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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50 mdl.setYunits(axx.yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 'model', mdl, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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55 'MaxIter', 50, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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56 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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57 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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58 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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59 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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60 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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61 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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62 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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63 'FITTOL', 1e-2); % tolerance on MSE Value
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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64
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 awm = whiten1D(af, pl);
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 iplot(aw, awm)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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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>
parents:
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 awxx = aw.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 awmxx = awm.psd(pl_psd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 iplot(axx, afxx, awxx, awmxx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 %% Testing flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 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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82 fc = utils.math.spflat(svec);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 %% Working with multiple inputs %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 10000, 'yunits', 'V'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 a2 = ao(plist('tsfcn', 'randn(size(t)).''', 'fs', fs, 'nsecs', 10000, 'yunits', 'T'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 pzm = pzmodel(1e-2, {0.01}, {0.1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 ft = miir(pzm,plist('fs',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 af1 = filter(a1, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 af2 = filter(a2, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 'model', [], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 'MinOrder', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 'MaxOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 'FITTOL', 1e-2); % tolerance on fit residuals spectral flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 [aw1,aw2] = whiten1D(af1,af2,pl);
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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>
parents:
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111 %%
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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>
parents:
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113 iplot(aw1,aw2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 %% help test
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 % Generate white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 a = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 1e5, 'yunits','m'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 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>
parents:
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123
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 % coloring white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 af = filter(a, ft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 % Whitening colored noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 pl = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 'model', [], ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 'MaxIter', 30, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 'MinOrder', 9, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 'MaxOrder', 15, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 'Weights', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 'Disp', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 'MSEVARTOL', 1e-1,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 'FITTOL', 5e-2); % tolerance on fit residuals spectral flatness
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 aw = whiten1D(af,pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 % Calculate psd of colored and whitened data
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 afxx = af.psd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 awxx = aw.psd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 % plotting
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 iplot(afxx,awxx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 % END