annotate m-toolbox/classes/@ao/spsd.m @ 9:fbbfcd56e449 database-connection-manager

Remove dead code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % SPSD implements the smoothed (binned) PSD algorithm for analysis objects.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: SPSD implements the smoothed PSD algorithm for analysis objects.
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % CALL: bs = spsd(a1,a2,a3,...,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % bs = spsd(as,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % bs = as.spsd(pl)
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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 % INPUTS: aN - input analysis objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % as - input analysis objects array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % pl - input parameter list
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13 %
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14 % OUTPUTS: bs - array of analysis objects, one for each input
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15 %
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16 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'spsd')">Parameters Description</a>
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % VERSION: $Id: spsd.m,v 1.21 2011/07/11 10:43:35 adrien Exp $
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19 %
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20 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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21
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 function varargout = spsd(varargin)
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 import utils.const.*
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 if utils.helper.isinfocall(varargin{:})
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28 varargout{1} = getInfo(varargin{3});
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29 return
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30 end
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31
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32 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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33
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34 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 in_names = cell(size(varargin));
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36 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 [as, ao_invars, rest] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 [pl, pl_invars, rest] = utils.helper.collect_objects(rest(:), 'plist', in_names);
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41
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 bs = copy(as, nargout);
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44
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 pl = combine(pl, plist(rest(:)), getDefaultPlist);
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47
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48 inhists = [];
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 %% Go through each input AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 for jj = 1 : numel(bs)
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52 % gather the input history objects
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53 inhists = [inhists bs(jj).hist]; %#ok<AGROW>
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % check this is a time-series object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if ~isa(bs(jj).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 warning('!!! spsd requires tsdata (time-series) inputs. Skipping AO %s', ao_invars{jj}); %#ok<WNTAG>
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58 else
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59
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60 % Check the time range.
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61 time_range = find(pl, 'times');
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62 if ~isempty(time_range)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 bs(jj) = split(bs(jj), plist('method', 'times', 'times', time_range));
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64 end
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65 % Check the length of the object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 if bs(jj).len <= 0
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67 error('### The object is empty! Please revise your settings ...');
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68 end
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69
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70 % pl = utils.helper.process_spectral_options(pl, 'log');
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71 pl = pl.combine(getDefaultPlist());
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72
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73 % getting data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 y = bs(jj).y;
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75
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76 % Window function
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77 Win = find(pl, 'Win');
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78 nfft = length(y);
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79 Win = ao( combine(plist('win', Win , 'length', nfft), pl) );
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80
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81 % detrend
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82 order = find(pl,'order');
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83 if ~(order < 0)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 y = ltpda_polyreg(y, order).';
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85 else
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86 y = reshape(y, 1, nfft);
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87 end
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % computing PSD
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 window = Win.data.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 window = window/norm(window)*sqrt(nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 yASD = real(fft(y.*window, nfft)).^2 + imag(fft(y.*window, nfft)).^2;
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93 pow = [yASD(1) yASD(2:floor(nfft/2))*2];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 pow = pow / ( bs(jj).data.fs * nfft);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 Freqs = linspace(0, bs(jj).data.fs/2, nfft/2);
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96
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 % smoothing PSD
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 if ~isempty(find(pl,'frequencies'))
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99 error('the option "frequencies" is deprecated, frequencies are "removed" by default')
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100 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 [Freqs, pow, nFreqs, nDofs] = ltpda_spsd(Freqs, pow, find(pl,'linCoef'), find(pl,'logCoef') );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % create new output fsdata
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 scale = find(pl, 'Scale');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 switch lower(scale)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 case 'asd'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 fsd = fsdata(Freqs, sqrt(pow), bs(jj).data.fs);
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107 fsd.setYunits(bs(jj).data.yunits / unit('Hz^0.5'));
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108 % stdDev = 0.5 * sqrt( pow ./ nDofs ); % linear approximation of the sqrt of a distribution
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 % approximation knowing the STD of the PSD
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 % STD assuming amplitude samples are independent, Chi^1_2 distibuted
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 % (with both variables of powe expectancy pow/2), and of different
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 % magnitude
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113 stdDev = 2 * sqrt(pow./nDofs) .* ( nDofs - 2*exp( 2*(gammaln((nDofs+1)/2)-gammaln(nDofs/2)) ) ); % std of the chi_2N^1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 case 'psd'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 fsd = fsdata(Freqs, pow, bs(jj).data.fs);
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116 fsd.setYunits(bs(jj).data.yunits.^2/unit('Hz'));
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117 % STD assuming power samples are independent, Chi^2_2 distibuted
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118 % (with both variables of expectancy pow/2), and of different
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 % magnitude
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 stdDev = sqrt(2) * (pow./nDofs) .* sqrt(2*nDofs); % std of the chi_2N^2
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121 otherwise
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122 error(['### Unknown scaling:' scale]);
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123 end
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124
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125 fsd.setXunits('Hz');
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126 fsd.setDx(nFreqs*Freqs(2)/2);
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127 fsd.setEnbw(1);% WARNING HERE!!!
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 fsd.setT0(bs(jj).data.t0);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 % make output analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 bs(jj).data = fsd;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 % set name
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132 bs(jj).name = ['SPSD(', ao_invars{jj}, ') ' upper(scale)];
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133 % Add standard deviation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 bs(jj).data.dy = stdDev;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 % Add history
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136 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), inhists(jj));
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137
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 end % End tsdata if/else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 end % End AO loop
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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 %% Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 varargout{ii} = bs(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 else
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148 % Single output
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149 varargout{1} = bs;
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150 end
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151
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152 end
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153
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154
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 pl = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: spsd.m,v 1.21 2011/07/11 10:43:35 adrien Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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168 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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169
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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170 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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171 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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172 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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173 function pl = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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174
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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175 % Plist for Welch-based, log-scale spaced spectral estimators.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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176 pl = plist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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177
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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178 % Win
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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179 p = param({'Win',['the window to be applied to the data to remove the ', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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180 'discontinuities at edges of segments. [default: taken from user prefs] <br>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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181 'Only the design parameters of the window object are used. Enter either: <ul>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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182 '<li> a specwin window object OR</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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183 '<li> a string value containing the window name</li></ul>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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184 'e.g., <tt>plist(''Win'', ''Kaiser'', ''psll'', 200)</tt>']}, paramValue.WINDOW);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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185 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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186
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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187 % Psll
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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188 p = param({'Psll',['the peak sidelobe level for Kaiser windows.<br>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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189 'Note: it is ignored for all other windows']}, paramValue.DOUBLE_VALUE(200));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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190 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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191
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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192 % Psll
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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193 p = param({'levelOrder','the contracting order for levelledHanning window'}, paramValue.DOUBLE_VALUE(2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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194 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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195
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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196 % Order
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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197 p = param({'Order',['order of segment detrending:<ul>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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198 '<li>-1 - no detrending</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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199 '<li>0 - subtract mean</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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200 '<li>1 - subtract linear fit</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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201 '<li>N - subtract fit of polynomial, order N</li></ul>']}, paramValue.DETREND_ORDER);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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202 p.val.setValIndex(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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203 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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204
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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205 % Times
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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206 p = param({'Times','time range. If not empty, sets the restricted interval to analyze'}, paramValue.DOUBLE_VALUE([]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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207 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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208
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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209 % Scale
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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210 p = param({'Scale',['scaling of output. Choose from:<ul>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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211 '<li>PSD - Power Spectral Density</li>', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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212 '<li>ASD - Amplitude (linear) Spectral Density</li>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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213 ]}, {1, {'PSD', 'ASD', 'PS', 'AS'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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214 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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215
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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216 p = param( {'lincoef', 'Linear scale smoothing coefficent (freq. bins)'}, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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217 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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218
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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219 p = param( {'logcoef', ['Logarithmic scale smoothing coefficent<br>', 'Best compromise for both axes is 2/3']}, 2/3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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220 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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221 end