annotate m-toolbox/classes/@ao/filtSubtract.m @ 13:e05504b18072 database-connection-manager

Move more functions to utils.repository
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 % FILTSUBTRACT subtracts a frequency dependent noise contribution from an input ao.
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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: FILTSUBTRACT subtracts a frequency dependent noise contribution from an input ao.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % The method computes the transfer function between both input AOs and
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % fits a miir model to it. The frequency band is applied is set by a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % threshold in the coherence that the user defines as an input
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % parameter.
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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 % CALL: c = filtSubtract(a,b pl)
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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 % INPUTS: a - AO from where subtract linear contributions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % b - AOs with noise contributions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % pl - parameter list (see below)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % OUTPUTs: c - output AO with contributions subtracted (tsdata)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'filtSubtract')">Parameters Description</a>
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % VERSION: $Id: filtSubtract.m,v 1.19 2011/05/22 22:26:56 mauro Exp $
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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 % TODO: handling errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % split by coherence function
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 function varargout = filtSubtract(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 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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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % Method can not be used as a modifier
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 if nargout == 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 error('### filtSubtract cannot be used as a modifier. Please give an output variable.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 end
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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>
parents:
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44 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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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 all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 [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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50 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 % Only two inputs ao's accepted
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 if numel(as) ~= 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 error('### filtSubtract only accepts two inputs AOs.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 bs = copy(as, nargout);
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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 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 pl = combine(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % get parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 times = find(pl,'times');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 filttimes = find(pl,'times postfilter');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 fs = find(pl,'fs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 filt = find(pl,'filt');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 fspl = find(pl,'frequencies');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 % resample and consolidate
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 if isempty(fs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 bs1r = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 pl = pset(pl,'fs', bs(1).fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 if fs ~= bs(1).fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 bs1r = resample(bs(1), plist('fsout',fs));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 bs1r = bs(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 % consolidate and split
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 c = consolidate(bs1r, bs(2), pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 if ~isempty(times)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 cs = split(c(1), plist('times', times));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 cn = split(c(2), plist('times', times));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 cs = c(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 cn = c(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 if isempty(filt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 % Transfer functions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 tf = ltfe(cn, cs, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 % split transfer function to relevant frequencies
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 if ~isempty(fspl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 tf_spl = split(tf, plist('frequencies', [fspl(1) fspl(2)]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 tf_spl = tf;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 % get filter from transfer function
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 fp = zDomainFit(tf_spl, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 fp.filters.setIunits(cn.yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 fp.filters.setOunits(cs.yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 fp = filt;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 end
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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 % get noise contribution
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 cs_cont = filter(cn,fp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 cs_cont.simplifyYunits();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 % remove filter transient
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 if ~isempty(filttimes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 cs_cont = split(cs_cont, plist('times', filttimes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 cs = split(cs, plist('times', filttimes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 % subtraction
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 cs_subt = detrend(cs) - detrend(cs_cont);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 % new tsdata
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 fsd = tsdata(cs_subt.x, cs_subt.y, cs_subt.fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 % make output analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 cs = ao(fsd);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 % set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 cs.name = sprintf('filtSubtract(%s)', ao_invars{1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 % set units
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 cs.setYunits(cs_subt.yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 % t0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 if ~isempty(times) && ~isempty(filttimes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 cs.setT0(bs(1).t0 + times(1) + filttimes(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 elseif isempty(times) && ~isempty(filttimes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 cs.setT0(bs(1).t0 + filttimes(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 elseif ~isempty(times) && isempty(filttimes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 cs.setT0(bs(1).t0 + times(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 cs.setT0(bs(1).t0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 % Add procinfo
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 cs.procinfo = plist('filter', fp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 cs.addHistory(getInfo('None'), pl, ao_invars, [bs(:).hist]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 varargout{1} = cs;
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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 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 % Get Info Object
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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 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: filtSubtract.m,v 1.19 2011/05/22 22:26:56 mauro Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 end
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165
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Daniele Nicolodi <nicolodi@science.unitn.it>
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166
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Daniele Nicolodi <nicolodi@science.unitn.it>
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167 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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168 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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169 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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170 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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171 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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172 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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173 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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174 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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175 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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176 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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177
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Daniele Nicolodi <nicolodi@science.unitn.it>
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178 function pl = buildplist()
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179
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Daniele Nicolodi <nicolodi@science.unitn.it>
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180 pl = plist();
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181
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Daniele Nicolodi <nicolodi@science.unitn.it>
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182 % fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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183 p = param({'fs','target sampling frequency to resample the data.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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184 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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185
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Daniele Nicolodi <nicolodi@science.unitn.it>
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186 % times
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Daniele Nicolodi <nicolodi@science.unitn.it>
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187 p = param({'times', 'selects the interval where the subtraction is applied.'},...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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188 paramValue.EMPTY_STRING);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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189 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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190
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Daniele Nicolodi <nicolodi@science.unitn.it>
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191 % times
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Daniele Nicolodi <nicolodi@science.unitn.it>
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192 p = param({'times postfilter', 'selects the filter transient intervals to be removed.'},...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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193 paramValue.EMPTY_STRING);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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194 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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195
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Daniele Nicolodi <nicolodi@science.unitn.it>
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196 % filtspl
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Daniele Nicolodi <nicolodi@science.unitn.it>
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197 p = param({'frequencies', 'selects the frequency band where the transfer<br>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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198 'function is fitted.'}, paramValue.EMPTY_STRING);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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199 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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200
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Daniele Nicolodi <nicolodi@science.unitn.it>
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201 % filt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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202 p = param({'filt', ['a miir/mfir object which will be used as a<br>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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203 'transfer function. If this option is selected<br>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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204 ' the fit is avoided.']}, paramValue.EMPTY_STRING);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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205 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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206
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Daniele Nicolodi <nicolodi@science.unitn.it>
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207 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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208