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annotate m-toolbox/test/test_ao_delayEstimate.m @ 42:f90d4f666cc7 database-connection-manager

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Cleanup
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 18:04:34 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % Test delay estimation with two cases: injected signal or only noise
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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 % M Nofrarias 13-10-09
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % VERSION: $Id: test_ao_delayEstimate.m,v 1.1 2009/10/21 08:39:28 miquel Exp $
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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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 close all
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12 clear
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 A =1;
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14 sigma = 0.01;
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15
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16 % test 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 fs = 2048;
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18 nsecs = 0.75;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 sig_f = 256;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 sig_d = 2;
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21
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % test 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 % fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % nsecs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % sig_f = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % sig_d = 3;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 signal = 1;
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29
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30 %%
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31
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 if signal == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % create white noise, given a known seed
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35 pl = plist('waveform','noise','nsecs',nsecs,'fs',fs,'sigma',sigma);
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36 a1 = ao(pl);
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37 a1.setName('noise')
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % create sine wave
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 pl = plist('waveform','sine wave','A',A,'f',sig_f,'phi',0,'nsecs',nsecs,'fs',fs);
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41 a2 = ao(pl);
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42
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43 % add both
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 a = a1 +a2 ;
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45
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46 % create white noise, given a known seed
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47 pl = plist('waveform','noise','nsecs',nsecs,'fs',fs,'sigma',sigma);
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48 b1 = ao(pl);
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49 b1.setName('noise')
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50
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51 b2 = delay(a2,plist('n',sig_d));
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52
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53 b = b1 +b2 ;
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54 else
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55 % create white noise, given a known seed
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56 pl = plist('waveform','noise','nsecs',nsecs,'fs',fs,'sigma',sigma);
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57 a1 = ao(pl);
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58 a1.setName('noise')
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59
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60
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61 % add both
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62 a = a1 ;
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63
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % create white noise, given a known seed
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65 pl = plist('waveform','noise','nsecs',nsecs,'fs',fs,'sigma',sigma);
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66 b1 = ao(pl);
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67 b1.setName('noise')
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68
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69 b = delay(a,plist('n',sig_d));
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70
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71 end
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72
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73 iplot(a,b)
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74
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75
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76 %%
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77
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78 pl = plist('weight','scc','plot','true');
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79 d(1) = delayEstimate(a,b,pl);
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