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annotate m-toolbox/classes/@ao/ltfe.m @ 1:2014ba5b353a database-connection-manager

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Remove old code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Sat, 03 Dec 2011 18:13:55 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % LTFE implements transfer function estimation computed on a log frequency axis.
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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: LTFE implements transfer function estimation computed on a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % log frequency axis. The estimate is done by taking
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % the ratio of the CPSD between the two inputs, Sxy, divided by
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % the PSD of the first input, Sxx:
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8 % Sxy / Sxx where x is the first input, y is the second input
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % CALL: b = ltfe(a1,a2,pl)
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11 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % INPUTS: a1 - input analysis object
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13 % a2 - input analysis object
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14 % pl - input parameter list
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15 %
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16 % OUTPUTS: b - output analysis object
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17 %
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18 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'ltfe')">Parameters Description</a>
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19 %
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20 % VERSION: $Id: ltfe.m,v 1.29 2011/04/08 08:56:16 hewitson Exp $
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21 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % References: "Improved spectrum estimation from digitized time series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 % on a logarithmic frequency axis", Michael Troebs, Gerhard Heinzel,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % Measurement 39 (2006) 120-129.
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25 %
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26 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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27
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28 function varargout = ltfe(varargin)
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29
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30 % Check if this is a call for parameters
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31 if utils.helper.isinfocall(varargin{:})
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32 varargout{1} = getInfo(varargin{3});
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33 return
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34 end
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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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37 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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38
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39 if nargout == 0
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40 error('### tfe cannot be used as a modifier. Please give an output variable.');
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41 end
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42
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43 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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46
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47 % Collect all AOs
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48 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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49
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50 % Apply defaults to plist
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51 pl = applyDefaults(getDefaultPlist, varargin{:});
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52
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53 % Throw an error if input is not two AOs
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54 if numel(as) ~= 2
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55 error('### ltfe only accepts two inputs AOs.');
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56 end
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57
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58 % Compute transfer function with lxspec
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59 bs = ao.lxspec(as, pl, 'tfe', getInfo, ao_invars);
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60
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61 % Set output
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62 varargout{1} = bs;
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63
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64 end
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65
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66 %--------------------------------------------------------------------------
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67 % Get Info Object
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68 %--------------------------------------------------------------------------
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69 function ii = getInfo(varargin)
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70 if nargin == 1 && strcmpi(varargin{1}, 'None')
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71 sets = {};
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72 pl = [];
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73 else
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74 sets = {'Default'};
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75 pl = getDefaultPlist();
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76 end
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77 % Build info object
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78 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: ltfe.m,v 1.29 2011/04/08 08:56:16 hewitson Exp $', sets, pl);
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79 ii.setModifier(false);
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80 ii.setArgsmin(2);
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81 end
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82
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83 %--------------------------------------------------------------------------
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84 % Get Default Plist
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85 %--------------------------------------------------------------------------
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86 function plout = getDefaultPlist()
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87 persistent pl;
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88 if ~exist('pl', 'var') || isempty(pl)
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89 pl = buildplist();
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90 end
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91 plout = pl;
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92 end
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93
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94 function pl = buildplist()
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95
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96 % General plist for Welch-based, log-scale spaced spectral estimators
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97 pl = plist.LPSD_PLIST;
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98
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99 end
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100
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101
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102 % PARAMETERS:
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103 %
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104 % 'Kdes' - desired number of averages [default: 100]
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105 % 'Jdes' - number of spectral frequencies to compute [default: 1000]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 % 'Lmin' - minimum segment length [default: 0]
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107 % 'Win' - the window to be applied to the data to remove the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 % discontinuities at edges of segments. [default: taken from
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 % user prefs]
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110 % Only the design parameters of the window object are
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111 % used. Enter either:
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112 % - a specwin window object OR
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 % - a string value containing the window name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 % e.g., plist('Win', 'Kaiser', 'psll', 200)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 % 'Olap' - segment percent overlap [default: -1, (taken from window function)]
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 % 'Order' - order of segment detrending
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117 % -1 - no detrending
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118 % 0 - subtract mean [default]
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119 % 1 - subtract linear fit
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120 % N - subtract fit of polynomial, order N
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121 % 'Variance' - computes transfer function variance.
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122 % 'yes' - compute tf variance [default]
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123 % 'no' - do not compute tf variance