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annotate m-toolbox/test/test_ao_noisegen2D_2.m @ 13:e05504b18072 database-connection-manager

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Move more functions to utils.repository
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 % A test script for ao/noisegen2D
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % test ao/noisegen2D with input the model and output the filter
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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 % DESCRIPTION: Run noisegen2D with test data and test procedure accuracy
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % L. Ferraioli 10-11-08
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % $Id: test_ao_noisegen2D_2.m,v 1.1 2010/05/03 19:04:45 luigi Exp $
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9 %
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10
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 %% General use variables and vectors
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12
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13 userdir = 'C:\Users\Luigi'; % You should set your own dir
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14
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15 f = logspace(-6,log10(5),300);
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16 fs = 10;
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17
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18 Nt = fs*10000;
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19
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20
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %% CSD Noise models
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22
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23 fundir = fullfile(userdir,'ltp_data_analysis\MDCs\MDC1_UTN');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 cf = cd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 cd(fundir);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 [TF,CSD] = mdc1_tf_models(plist('f',f,'fs',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 cd(cf);
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28
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %% Plot Model Tfs
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31
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32 iplot(TF(1,1),TF(1,2),TF(2,1),TF(2,2))
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33
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34 %% Plot Model CSD
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35
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36 iplot(CSD(1,1),CSD(1,2),CSD(2,1),CSD(2,2))
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 %% Noise generation - 3 inputs
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 pl = plist(...
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41 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 'Iunits', '', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 'Ounits', 'm', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 'MaxIter', 80, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 'MinOrder', 15, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 'MaxOrder', 45, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 'Weights', 3, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 'FITTOL', 1e-3,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 'MSEVARTOL', 1e-1,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 'UseSym', 0,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 'Disp', false);
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54
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55 fil = noisegen2D(CSD(1,1),CSD(1,2),CSD(2,2), pl);
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56
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57 %% filtering data
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58
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59 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e5));
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60 a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e5));
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61
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62 a = matrix(a1,a2,plist('shape',[2 1]));
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63
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64 b = filter(a,fil);
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65
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66 %% Checking results and starting data
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67
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68 iplot(b.objs)
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69
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70 %% Make psd
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71
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72 plpsd = plist('navs',8,'order',1,'olap',50);
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73 bxx1 = b.objs(1).psd(plpsd);
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74 bxx2 = b.objs(2).psd(plpsd);
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75
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76 iplot(bxx1,CSD(1,1),bxx2,CSD(2,2))
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77
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 %% Noise generation - 4 inputs
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79
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80 pl = plist(...
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81 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 'Iunits', '', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 'Ounits', 'm', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 'MaxIter', 80, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 'MinOrder', 15, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 'MaxOrder', 45, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 'Weights', 3, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 'FITTOL', 1e-3,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 'MSEVARTOL', 1e-1,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 'UseSym', 0,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 'Plot', false,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 'Disp', false);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94
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95 fil = noisegen2D(CSD(1,1),CSD(1,2),CSD(2,1),CSD(2,2), pl);
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96
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97 %% filtering data
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98
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99 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e5));
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100 a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e5));
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101
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102 a = matrix(a1,a2,plist('shape',[2 1]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 b = filter(a,fil);
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105
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106 %% Checking results and starting data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 iplot(b.objs)
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109
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110 %% Make psd
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111
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112 plpsd = plist('navs',8,'order',1,'olap',50);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 bxx1 = b.objs(1).psd(plpsd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 bxx2 = b.objs(2).psd(plpsd);
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115
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116 iplot(bxx1,CSD(1,1),bxx2,CSD(2,2))