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annotate m-toolbox/classes/@ao/quasiSweptSine.m @ 45:a59cdb8aaf31 database-connection-manager

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % QUASISWEPTSING computes a transfer function from swept-sine measurements
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: QUASISWEPTSING computes a transfer function from discrete
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % swept-sine measurements.
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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 % In order for the calculation to work, you need to give it an array of
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % start and stop times (or durations), and (optionally) an array of
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % amplitudes and frequencies of the injected sine-waves. If you don't
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % specify the frequencies, you must give a time-series of the injected
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % signal and the algorithm will try to determine the amplitudes and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % frequencies from the data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % CALL: T = quasiSweptSine(out, pl);
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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 % INPUTS: out - The measured output of the system
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % PL - parameter list
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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 % OUTPUT: T - the measured transfer function
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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 % The procinfo of the output AOs contains the following fields:
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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 % 'frequencies' - the frequencies used in the DFT estimation.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % 'timespans' - an array of timespan objects, one for each sine-wave
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % segment
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 %
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28 %
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29 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'quasiSweptSine')">Parameters Description</a>
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30 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % VERSION: $Id: quasiSweptSine.m,v 1.10 2011/04/08 08:56:16 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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34
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 function varargout = quasiSweptSine(varargin)
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 end
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % tell the system we are runing
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 % collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 % collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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55
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 error('### quasiSweptSine can not be used as a modifier method. Please give at least one output');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 end
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % Make copies or handles to inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 bs = copy(as, nargout);
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 pl = parse(pl, getDefaultPlist());
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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 % Parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 input = pl.find('input');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 startTimes = pl.find('Start times');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 stopTimes = pl.find('Stop times');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 durations = pl.find('durations');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 amplitudes = pl.find('amplitudes');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 frequencies = pl.find('frequencies');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 % phases = pl.find('phases');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 inUnits = pl.find('Input Units');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 win = pl.find('Win');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 Nerror = pl.find('Nerror');
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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 if isa(input, 'ao') && ~isa(input.data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 utils.helper.err('quasiSweptSine requires time-series as input');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 end
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81
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82
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83 %---------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 %--------- Convert the times to timespans
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 if isempty(durations) && isempty(stopTimes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 utils.helper.err('You need to specify either an array of stop times, or an array of durations');
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87 end
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88
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 %---------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 %--------- if we have the input, we use it to determine amplitudes and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 %--------- frequencies
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 if isempty(input) && isempty(amplitudes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 utils.helper.err('You need to specify either an input signal, or a full description of the signals including amplitudes and frequecies.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 computeFrequecies = false;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 if isempty(frequencies)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 computeFrequecies = true;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102
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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 % Go through each ao
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 for jj=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106
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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 if ~isa(bs.data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 utils.helper.err('quasiSweptSine requires time-series as input');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 [timespans, startTimes, stopTimes] = generateTimespans(bs(jj).t0, startTimes, stopTimes, durations);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113
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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 % Go through each time-span
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 Txx = zeros(size(timespans));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 dT = zeros(size(timespans));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 for kk=1:numel(timespans)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 if isa(input, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 inseg = input.split(plist('timespan', timespans(kk)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 % We don't have an input, so we need to create inputs from the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 % signal specs
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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 inseg = ao(plist('waveform', 'sine wave', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 'nsecs', timespans(kk).interval, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 'fs', bs(jj).fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 'A', amplitudes(kk), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 'f', frequencies(kk), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 'toff', 0, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 't0', startTimes(kk), ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 'yunits', inUnits));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 if computeFrequecies
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 b = sineParams(inseg, plist('N', 1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 frequencies(kk) = b.y(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 utils.helper.msg(msg.PROC1, 'Computing TF at %g Hz', frequencies(kk));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 % Window
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 w = ao(plist('win', win, 'length', inseg.len));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 % Output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 outseg = bs(jj).split(plist('timespan', timespans(kk)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 % Compute DFT
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 fs = outseg.data.fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 N = outseg.len;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 J = -2*pi*1i.*(0:N-1)/fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 outxx = exp(frequencies(kk)*J)*(w.y.*outseg.data.getY);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 inxx = exp(frequencies(kk)*J)*(w.y.*inseg.data.getY);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 Txx(kk) = outxx./inxx;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 % Compute error
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 nout = noiseAroundLine(outseg, frequencies(kk), Nerror);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 nin = noiseAroundLine(inseg, frequencies(kk), Nerror);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 snr1 = abs(outxx)./nout;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 snr2 = abs(inxx)./nin;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 dT(kk) = abs(Txx(kk)) * sqrt( (1./snr1)^2 + (1./snr2)^2);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 end % End loop over timespans (segments)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 % Make output
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 bs(jj).data = fsdata(frequencies, Txx, bs(jj).data.fs);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 bs(jj).data.dy = dT;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 bs(jj).data.setXunits('Hz');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 bs(jj).data.setYunits(outseg.yunits./inseg.yunits);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 % Set name
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 bs(jj).name = sprintf('sweptsine(%s,%s)', input.name, ao_invars{jj});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % Set procinfo
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 bs(jj).procinfo = plist('frequencies', frequencies, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 'timespan', timespans);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 % Add history
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 end % Loop over input aos
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 % set outputs
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 varargout{1} = bs;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 function n = noiseAroundLine(sig, f0, N)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 xx = abs(fft(sig));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 % get the noise floor around the frequency of interest
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 % - we need the bin that is nearest the frequency
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 f = abs(xx.x - f0);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 [m, mi] = min(f);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 % xx.x(mi)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 % iplot(xx)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 % plot(xx.x(mi), xx.y(mi), 'x')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 M = N-1;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 % Measure below the line frequency if we can
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 nl = 0;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 if (mi>1)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 ls = max(1, mi-2*M);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 le = max(1, mi-M);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 nl = xx.y(ls:le);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 % Measure above the line frequency if we can
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 nu = 0;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 if mi<xx.len
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 us = min(xx.len, mi+M);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 ue = min(xx.len, mi+2*M);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 nu = xx.y(us:ue);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 n = mean([nl;nu]);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 function [ts, startTimes, stopTimes] = generateTimespans(t0, startTimes, stopTimes, durations)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 if isempty(durations) && numel(startTimes) ~= numel(stopTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 utils.helper.err('You need to specify the same number of start and stop times.');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 if isempty(stopTimes) && numel(startTimes) ~= numel(durations)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224 utils.helper.err('You need to specify the same number of durations and stop times.');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 ts = timespan.initObjectWithSize(1,numel(startTimes));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 % Convert to time objects
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 if iscell(startTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 startTimes = time(startTimes);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 if isnumeric(startTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 newStarts = time.initObjectWithSize(1,numel(startTimes));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 for kk=1:numel(startTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 newStarts(kk) = t0+startTimes(kk);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239 startTimes = newStarts;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 if isempty(durations) && iscell(stopTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 stopTimes = time(stopTimes);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 if isempty(durations) && isnumeric(stopTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 if isnumeric(stopTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248 newStops = time.initObjectWithSize(1,numel(startTimes));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 for kk=1:numel(stopTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 newStops(kk) = t0+stopTimes(kk);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 stopTimes = newStops;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 useDuration = isempty(stopTimes);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 for kk=1:numel(startTimes)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 if useDuration
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 ts(kk) = timespan(startTimes(kk), startTimes(kk)+durations(kk));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 ts(kk) = timespan(startTimes(kk), stopTimes(kk));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268 % get info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269 function ii = getInfo(varargin)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 if nargin == 1 && strcmpi(varargin{1}, 'None')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271 sets = {};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272 pl = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274 sets = {'Default'};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 pl = getDefaultPlist;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277 % build info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.op, '$Id: quasiSweptSine.m,v 1.10 2011/04/08 08:56:16 hewitson Exp $', sets, pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 % get default plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282 function plout = getDefaultPlist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283 persistent pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
284 if exist('pl', 'var')==0 || isempty(pl)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285 pl = buildplist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
286 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
287 plout = pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
288 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
289
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
290 function pl = buildplist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
291
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
292 % default plist for linear fitting
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
293 pl = plist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
294
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
295 % Input
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
296 p = param({'input', 'The input data series.'}, paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
297 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
298
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
299 % Start times
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
300 p = param({'Start Times', 'A cell array of start times, or an array of time objects.'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
301 paramValue.EMPTY_CELL);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
302 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
303
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
304 % Stop times
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
305 p = param({'Stop Times', 'A cell array of stop times, or an array of time objects.'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
306 paramValue.EMPTY_CELL);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
307 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
308
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
309 % Durations
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
310 p = param({'Durations', 'An array of durations that can be used instead of the stop times.'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
311 paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
312 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
313
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
314 % Amplitudes
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
315 p = param({'Amplitudes', 'An array of amplitudes.'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
316 paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
317 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
318
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
319 % Frequencies
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
320 p = param({'Frequencies', 'An array of frequencies [Hz].'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
321 paramValue.EMPTY_DOUBLE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
322 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
323
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
324 % Input units
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
325 p = param({'Input Units', 'If you don''t give an input signal AO, you can specify the units of the signal that will be constructed internally.'}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
326 {1, {'V'}, paramValue.OPTIONAL});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
327 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
328
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
329 % Window
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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330 p = param({'Win', 'A window to apply to each segment when computing the DFT.'}, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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331 paramValue.WINDOW);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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332 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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333
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Daniele Nicolodi <nicolodi@science.unitn.it>
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334 % Error samples
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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335 p = param({'Nerror', ['The number of samples either side of the line frequency to use to estimate the noise floor.'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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336 'The noise is estimated from <br><br><tt>mean([y(idx-2*M:idx-M);y(idx+M:idx+2M)])</tt><br><br> where <tt>M=N-1</tt> and <tt>idx</tt> is the index '...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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337 'of the bin nearest to the frequency of the signal.']}, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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338 paramValue.DOUBLE_VALUE(5));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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339 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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340
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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341 % % Phases
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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342 % p = param({'Phases', 'An array of phases [degrees].'}, paramValue.DOUBLE_VALUE(0));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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343 % pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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344
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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345 end