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

Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % LCPSD implement cross-power-spectral density estimation 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: LCPSD implement cross-power-spectral density estimation on a
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5 % log frequency axis
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6 %
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7 % CALL: b = lcpsd(a1,a2,pl)
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % INPUTS: aN - input analysis objects (two)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % pl - input parameter list
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11 %
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12 % OUTPUTS: b - output analysis object
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13 %
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14 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'lcpsd')">Parameters Description</a>
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15 %
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16 % VERSION: $Id: lcpsd.m,v 1.29 2011/04/08 08:56:13 hewitson Exp $
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % References: "Improved spectrum estimation from digitized time series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % on a logarithmic frequency axis", Michael Troebs, Gerhard Heinzel,
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % Measurement 39 (2006) 120-129.
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21 %
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22 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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23
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24 function varargout = lcpsd(varargin)
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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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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 import utils.const.*
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33 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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34
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35 if nargout == 0
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36 error('### lcpsd cannot be used as a modifier. Please give an output variable.');
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37 end
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38
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39 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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42
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43 % Collect all AOs
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44 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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45
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46 % Apply defaults to plist
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47 pl = applyDefaults(getDefaultPlist, varargin{:});
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48
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49 % Throw an error if input is not two AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 if numel(as) ~= 2
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51 error('### lcpsd only accepts two inputs AOs.');
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52 end
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53
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54 % Compute cross-spectrum with lxspec
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55 bs = ao.lxspec(as, pl, 'cpsd', getInfo, ao_invars);
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56
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57 % Set output
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58 varargout{1} = bs;
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59
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60 end
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61
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62 %--------------------------------------------------------------------------
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63 % Get Info Object
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64 %--------------------------------------------------------------------------
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65 function ii = getInfo(varargin)
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66 if nargin == 1 && strcmpi(varargin{1}, 'None')
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67 sets = {};
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68 pl = [];
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69 else
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70 sets = {'Default'};
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71 pl = getDefaultPlist();
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72 end
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73 % Build info object
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74 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: lcpsd.m,v 1.29 2011/04/08 08:56:13 hewitson Exp $', sets, pl);
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75 ii.setModifier(false);
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76 ii.setArgsmin(2);
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77 end
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78
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79 %--------------------------------------------------------------------------
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80 % Get Default Plist
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81 %--------------------------------------------------------------------------
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82 function plout = getDefaultPlist()
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83 persistent pl;
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84 if ~exist('pl', 'var') || isempty(pl)
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85 pl = buildplist();
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86 end
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87 plout = pl;
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88 end
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89
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90 function pl = buildplist()
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91
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92 % General plist for Welch-based, log-scale spaced spectral estimators
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93 pl = plist.LPSD_PLIST;
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94
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95 end
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96