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annotate m-toolbox/test/utils/test_blwhitenoise.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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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % A test script for utils.math.blwhitenoise
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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 % L. Ferraioli 18-11-08
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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_eigcsd.m,v 1.2 2009/06/10 16:12:06 luigi 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 %%
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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 clear all
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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 %%
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13
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % sampling frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % higher bandwhidth frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 fh = fs/2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % lower bandwidth frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 fl = 1e-3;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % number of data points
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 npts = 1e6;
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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 % noise generation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 wn = utils.math.blwhitenoise(npts,fs,fl,fh);
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 wnao = ao(tsdata(wn,fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % wnao.setNane('BLWN');
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 %% plot and statistics
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 iplot(wnao)
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Check histogram
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 wnao_hist = hist(wnao,plist('N',500,'Norm','true'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 wnao_norm = normdist(wnao,plist('N',500,'Norm','true'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 plpl = plist( ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 'Yscales', {'All','log'}, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 'Legends', {'Histogram', 'Gaussian'});
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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 iplot(wnao_hist,wnao_norm,plpl)
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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 %% fft
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 WNf = fft(wnao);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 iplot(WNf)
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48
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49 %% psd
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % expected white noise at fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 f = [logspace(-5,fs/2,300)]';
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53 expec = ao(plist('fsfcn', 'ones(size(f))', 'f', f));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 expec = expec.*(2/fs);
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55 WNxx = psd(wnao,plist('order',-1,'nfft',1e4));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 iplot(WNxx,expec)
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 %% compare randn
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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 aa = ao(plist('tsfcn', 'randn(size(t))', 'fs', fs, 'nsecs', 1e5));
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61
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 iplot(wnao)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % Check histogram
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 aa_hist = hist(aa,plist('N',500,'Norm','true'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 aa_norm = normdist(aa,plist('N',500,'Norm','true'));
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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 plpl = plist( ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 'Yscales', {'All','log'}, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 'Legends', {'Histogram', 'Gaussian'});
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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 iplot(aa_hist,aa_norm,plpl)