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annotate m-toolbox/classes/+utils/@helper/process_spectral_options.m @ 52:daf4eab1a51e database-connection-manager tip

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Fix. Default password should be [] not an empty string
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:29:47 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 function pl_out = process_spectral_options(pl, type, varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % PROCESS_SPECTRAL_OPTIONS checks the options for the parameters needed
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % by spectral estimators, recalculating and/or resetting them if needed.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % DESCRIPTION: PROCESS_SPECTRAL_OPTIONS checks the options for:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % - olap
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % - order
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 % - win
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % - psll
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % - navs (for linear frequency scaled estimators)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % - nfft (for linear frequency scaled estimators)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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13 % - kdes (for logarithmic frequency scaled estimators)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 % - jdes (for logarithmic frequency scaled estimators)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % - lmin (for logarithmic frequency scaled estimators)
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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 % CALL: pl = process_spectral_options(pl, type, varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % INPUTS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % pl - the parameter list to scan
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % type - the type of estimator. Choose between:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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22 % 'welch' (or 'lin') for linear frequency scaled
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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23 % 'lpsd' (or 'log') for logarithmic frequency scaled
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 % Optionals:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % obj_len - the length of the object (the shortest in case of x-spec)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % obj_fs - the sampling frequency of the object (the highest in case of x-spec)
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % OUTPUTS: pl_out - the revised plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % VERSION: $Id: process_spectral_options.m,v 1.11 2011/05/23 20:40:46 mauro 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 % HISTORY: 20-08-2009 M Hueller
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Creation
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % Necessary for debug messages
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 LIN = 'lin';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 LOG = 'log';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 pl_out = copy(pl, true);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 switch length(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 case 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 if strcmpi(type, LIN)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 error('### please provide the object length!');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 case 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 obj_len = varargin{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 obj_len = varargin{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 fs = varargin{2};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 % Check the type of estimator
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 switch lower(type)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 case {'welch', 'lin', 'linear'}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 type = LIN;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 case {'lpsd', 'log', 'logarithmic'}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 type = LOG;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 error(['### Unsupported estimator type ' type]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 if strcmpi(type, LIN)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 % Check the number of points in FFT. If this is not set (<0) we set it
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 % to be the length of the input data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 Nfft = find(pl, 'Nfft');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 if isempty(Nfft)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 Nfft = -1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 setWindow = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 if ischar(Nfft)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 nNfft = floor(eval(Nfft));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 utils.helper.msg(msg.PROC1, 'setting Nfft to %s = %d', Nfft, nNfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 Nfft = nNfft;
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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 if Nfft <= 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 Nfft = obj_len;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 utils.helper.msg(msg.PROC1, 'using default Nfft of %g', Nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 setWindow = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 pl_out.pset('Nfft', Nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % Check the window function.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 Win = find(pl, 'Win');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 psll = find(pl, 'psll');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 levelcoeff = find(pl, 'level');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 if isempty(Win)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 Win = 'Rectangular';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 utils.helper.msg(msg.PROC1, 'using no window (Rectangular)');
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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 if isempty(psll)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 psll = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 utils.helper.msg(msg.PROC1, 'setting psll level to 0');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 if ischar(psll)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 npsll = floor(eval(psll));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 utils.helper.msg(msg.PROC1, 'setting psll to %s = %d', psll, npsll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 psll = npsll;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 if ischar(Win)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 % We always want to work with a specwin
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 switch lower(Win)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 case 'kaiser'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 Win = specwin(Win, 0, psll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 case 'levelledhanning'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 Win = specwin(Win, 0, levelcoeff);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 Win = specwin(Win, 0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 if strcmpi(type, LIN)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 % If the length of the window doesn't match NFFT then we resize it.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 if setWindow || Win.len ~= Nfft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 Win.len = Nfft;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 utils.helper.msg(msg.PROC1, 'reset window to %s(%d)', strrep(Win.type, '_', '\_'), Win.len);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 % For log-spaced estimators, let's always reset to a 0-point window
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 Win.len = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 utils.helper.msg(msg.PROC1, 'reset window to %s(%d)', strrep(Win.type, '_', '\_'), Win.len);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 pl_out.pset('Win', Win);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 pl_out.pset('psll', psll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 % Check the overlap. If this is not set, we take the overlap from that
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 % recommended by the window function.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 Olap = find(pl, 'Olap');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 if isempty(Olap) || Olap < 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 Olap = Win.rov;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 utils.helper.msg(msg.PROC1, 'using default overlap of %2.1f%%', Olap);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
138 pl_out.pset('Olap', Olap);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
140 if strcmpi(type, LIN)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 % Check if the user is asking for a given number of averages
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 % If so, the Nfft and the win values are reset based on the
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 % calculated value:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 navs = find(pl, 'navs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 if ~isempty(navs) && navs > 1 && setWindow
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 % Compute the number of segments
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 M = obj_len;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 overlap = Olap/100;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 L = round(M/(navs*(1-overlap) + overlap));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 utils.helper.msg(msg.PROC1, 'Asked for navs = %d', navs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 % Checks it will really obtain the correct answer.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 % This is needed to cope with the need to work with integers
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 while fix((M-round(L*overlap))/(L-round(L*overlap))) < navs
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 L = L - 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 navs_actual = fix((M-round(L*overlap))/(L-round(L*overlap)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 utils.helper.msg(msg.PROC1, 'Expect to get navs_actual = %d', navs_actual);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
158 if L > 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 % Reset Nfft
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 Nfft = L;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
161 pl_out.pset('Nfft', Nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162 % Reset window
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163 Win.len = Nfft;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 pl_out.pset('Win', Win);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 pl_out.pset('navs', fix(navs_actual));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 utils.helper.msg(msg.PROC1, 'reset navs to %d', fix(navs_actual));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 % desired detrending order
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 order = pl.find('Order');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 if isempty(order)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 order = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 utils.helper.msg(msg.PROC1, 'using default detrending order 0 (mean)');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 if ischar(order)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 norder = floor(eval(order));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 utils.helper.msg(msg.PROC1, 'setting detrending order to %s = %d', order, norder);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 order = norder;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 pl_out.pset('Order', order);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 if strcmpi(type, LOG)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 % Desired number of averages
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 Kdes = find(pl, 'Kdes');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 if isempty(Kdes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 Kdes = 100;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 utils.helper.msg(msg.PROC1, 'using default Kdes value 100');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 if ischar(Kdes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 nKdes = floor(eval(Kdes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 utils.helper.msg(msg.PROC1, 'setting Kdes value to %s = %d', Kdes, nKdes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 Kdes = nKdes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 pl_out.pset('Kdes', Kdes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 % num desired spectral frequencies
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 Jdes = find(pl, 'Jdes');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 if isempty(Jdes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 Jdes = 1000;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 utils.helper.msg(msg.PROC1, 'using default Jdes value 1000');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 if ischar(Jdes)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 nJdes = floor(eval(Jdes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 utils.helper.msg(msg.PROC1, 'setting Jdes value to %s = %d', Jdes, nJdes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 Jdes = nJdes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 pl_out.pset('Jdes', Jdes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 % Minimum segment length
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 Lmin = find(pl, 'Lmin');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 if isempty(Lmin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 Lmin = 0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 utils.helper.msg(msg.PROC1, 'using default Lmin value 0');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 if ischar(Lmin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 nLmin = floor(eval(Lmin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 utils.helper.msg(msg.PROC1, 'setting Kdes value to %s = %d', Lmin, nLmin);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 Lmin = nLmin;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 pl_out.pset('Lmin', Lmin);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224