Mercurial > hg > ltpda

annotate m-toolbox/test/MDC2/test_mdc2_noisegen_accuracy.m @ 3:960fe1aa1c10 database-connection-manager

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Add LTPDADatabaseConnectionManager implementation. Java code
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>
parents:
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1 % A test script for to check the accuracy of the noise generation procedure
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % for the MDC2
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % L. Ferraioli 04-02-2009
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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 % $Id: test_mdc2_noisegen_accuracy.m,v 1.4 2009/04/20 14:34:12 luigi Exp $
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %% General use variables and vectors
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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 fs = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 f = logspace(-6,log10(fs/2),300);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 f = f.';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 Nsecs = 1e6; % number of seconds
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 %% MDC2 Models
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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 b = ao(plist('built-in','mdc2r2_fd_ltpnoise','f',f));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 iplot(b)
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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 %%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 CSD = [b(1) b(2);conj(b(2)) b(3)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 MSC = b(2).*conj(b(2))./(b(1).*b(3));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %% some ploting
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 iplot(CSD(1,1),CSD(2,2),MSC)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 iplot(CSD(1,1),CSD(2,2),CSD(1,2),CSD(2,1))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 %% Make white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', Nsecs, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', Nsecs, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 %% Noise generation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 plng = plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 'csd11', CSD(1,1), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 'csd12', CSD(1,2), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 'csd21', CSD(2,1), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 'csd22', CSD(2,2), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 'MaxIter', 80, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 'PoleType', 2, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 'MinOrder', 35, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 'MaxOrder', 40, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 'Weights', 2, ...
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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 'MSEVARTOL', 1e-2,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 'FITTOL', 1e-5,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 'UseSym', 0,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 'Disp', false);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 [ac1,ac2] = noisegen2D(a1,a2, plng);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % extracting filters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 h11 = ac1.procinfo.find('Filt11');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 h12 = ac1.procinfo.find('Filt12');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 h21 = ac2.procinfo.find('Filt21');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 h22 = ac2.procinfo.find('Filt22');
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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 %% spectra calculation
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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 acxx1 = lpsd(ac1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 acxx2 = lpsd(ac2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 acxx12 = lcohere(ac1,ac2);
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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 % get dofs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 dof1 = getdof(acxx1,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 dof2 = getdof(acxx2,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 dof12 = getdof(acxx12,plist('method','mslcohere'));
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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 % Interpolate theorethical data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 CSD11 = interp(CSD(1,1),plist('vertices',acxx1.data.x));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 CSD22 = interp(CSD(2,2),plist('vertices',acxx2.data.x));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 MSC = interp(MSC,plist('vertices',acxx12.data.x));
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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 % getting variance
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 [lw1,up1,sig1] = confint(acxx1,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 [lw2,up2,sig2] = confint(acxx2,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86 [lw12,up12,sig12] = confint(acxx12,plist('method','mslcohere'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 % chi square
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 k1 = acxx1 - CSD11;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 k1 = k1.^2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 k1 = k1./sig1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 chi1 = sum(k1)./length(k1.data.x);
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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 k2 = acxx2 - CSD22;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 k2 = k2.^2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 k2 = k2./sig2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 chi2 = sum(k2)./length(k2.data.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 k12 = acxx12 - MSC;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 k12= k12.^2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 k12 = k12./sig12;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 k12 = split(k12,plist('split_type','samples','samples',[3 342]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 chi12 = sum(k12)./length(k12.data.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 proc1 = acxx1.procinfo;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 proc2 = acxx2.procinfo;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 proc12 = acxx12.procinfo;
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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 %%
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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(CSD11,acxx1,lw1,up1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 iplot(CSD22,acxx2,lw2,up2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 iplot(MSC,acxx12,lw12,up12)
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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 %% Running the loop
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 N = 100;
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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 for ii = 2:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 disp(num2str(ii))
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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 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', Nsecs, 'yunits', 'm'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', Nsecs, 'yunits', 'm'));
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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 x11 = filter(a1,h11);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 x12 = filter(a2,h12);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 x21 = filter(a1,h21);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 x22 = filter(a2,h22);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 x1 = x11 + x12;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 x2 = x21 + x22;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 % sectra
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 xx1 = lpsd(x1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 xx2 = lpsd(x2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 xx12 = lcohere(x1,x2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 % sum spectra
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 acxx1 = acxx1 + xx1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 acxx2 = acxx2 + xx2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 acxx12 = acxx12 + xx12;
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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 % getting variance
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 [lw,up,sig1] = confint(xx1,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 [lw,up,sig2] = confint(xx2,plist('method','lpsd'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 [lw,up,sig12] = confint(xx12,plist('method','mslcohere'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 % chi square
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 k1 = xx1 - CSD11;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 k1 = k1.^2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 k1 = k1./sig1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 xc1 = sum(k1)./length(k1.data.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 k2 = xx2 - CSD22;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 k2 = k2.^2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 k2 = k2./sig2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 xc2 = sum(k2)./length(k2.data.x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
159 k12 = xx12 - MSC;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
160 k12= k12.^2;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
161 k12 = k12./sig12;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162 k12 = split(k12,plist('split_type','samples','samples',[3 342]));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163 xc12 = sum(k12)./length(k12.data.x);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 % adding chisquare
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 chi1 = chi1 + xc1;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 chi2 = chi2 + xc2;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 chi12 = chi12 + xc12;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 %% Do Averages
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 % do average
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 acxx1 = acxx1./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 acxx1.setName;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 acxx2 = acxx2./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 acxx2.setName;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 acxx12 = acxx12./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 acxx12.setName;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 % average chi square
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 chi1 = chi1./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 chi2 = chi2./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 chi12 = chi12./N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 % dofs for the averages
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 adof1 = dof1.*N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 adof2 = dof2.*N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 adof12 = dof12.*N;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 % get confidence bounds for the 'true' spactra
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 [lw1,up1,sig1] = confint(acxx1,plist('method','lpsd','dof',adof1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 [lw2,up2,sig2] = confint(acxx2,plist('method','lpsd','dof',adof2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 [lw12,up12,sig12] = confint(acxx12,plist('method','mslcohere','dof',adof12));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 %% plotting
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 iplot(CSD(1,1),acxx1)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 iplot(CSD(2,2),acxx2)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 iplot(MSC,acxx12)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 iplot(CSD(1,1),lw1,up1)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 iplot(CSD(2,2),lw2,up2)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 iplot(MSC,lw12,up12)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 %% plotting conflevels 1
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 x = lw1.data.x;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 y1 = lw1.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 y2 = up1.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 figure
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 y = [y1 (y2-y1)]; % y1 and y2 are columns
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 ha = area(x, y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 set(ha(1), 'FaceColor', 'none') % this makes the bottom area invisible
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 set(ha(2), 'FaceColor', 'r')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 set(ha, 'LineStyle', 'none')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 grid on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 % plot the line edges
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 hold on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 hb = plot(x, y1, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224 hc = plot(x, y2, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 hd = plot(CSD(1,1).data.x, CSD(1,1).data.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 set(gca,'xscale','log','yscale','log');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 % set(gca,'Layer','top')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 ylabel('Power Spectrum [m^{2} / Hz]');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 xlabel('Frequency [Hz]');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 legend([hd hb],{'Model CSD(1,1)','95% Conf. level'});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 %% plotting conflevels 2
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 x = lw2.data.x;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 y1 = lw2.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 y2 = up2.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239 figure
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 y = [y1 (y2-y1)]; % y1 and y2 are columns
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241 ha = area(x, y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 set(ha(1), 'FaceColor', 'none') % this makes the bottom area invisible
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 set(ha(2), 'FaceColor', 'r')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 set(ha, 'LineStyle', 'none')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245 grid on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 % plot the line edges
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248 hold on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 hb = plot(x, y1, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 hc = plot(x, y2, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 hd = plot(CSD(2,2).data.x, CSD(2,2).data.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 set(gca,'xscale','log','yscale','log');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 % set(gca,'Layer','top')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255 ylabel('Power Spectrum [m^{2} / Hz]');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 xlabel('Frequency [Hz]');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 legend([hd hb],{'Model CSD(2,2)','95% Conf. level'});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 %% plotting conflevels 3
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 x = lw12.data.x;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 y1 = lw12.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 y2 = up12.data.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 figure
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266 y = [y1 (y2-y1)]; % y1 and y2 are columns
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267 ha = area(x, y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268 set(ha(1), 'FaceColor', 'none') % this makes the bottom area invisible
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269 set(ha(2), 'FaceColor', 'r')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 set(ha, 'LineStyle', 'none')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271 grid on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 % plot the line edges
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274 hold on
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 hb = plot(x, y1, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276 hc = plot(x, y2, 'LineWidth', 1, 'Color', 'r');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277 hd = plot(MSC.data.x, MSC.data.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 set(gca,'xscale','log','yscale','log');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280 % set(gca,'Layer','top')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 ylabel('Magnitude Square Coherence');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282 xlabel('Frequency [Hz]');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283 legend([hd hb],{'Model MSC','95% Conf. level'});