annotate m-toolbox/classes/@ao/map3D.m @ 38:3aef676a1b20 database-connection-manager

Keep backtrace on error
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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rev   line source
0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % MAP3D maps the input 1 or 2D AOs on to a 3D AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: MAP3D maps the input 1 or 2D AOs on to a 3D AO.
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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 % The inputs AOs should be all either 1 or 2D. For 1D inputs, they should
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % all be the same length. For 2D inputs, they should all have the same
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % length.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % CALL: bs = map3D(a1,a2,a3,...,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % bs = map3D(as,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % INPUTS: aN - input analysis objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % as - input analysis objects array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % pl - input parameter list
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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 % OUTPUTS: bs - array of analysis objects, one for each input
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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 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'map3D')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % VERSION: $Id: map3D.m,v 1.2 2011/11/18 10:33:51 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 function varargout = map3D(varargin)
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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 callerIsMethod = utils.helper.callerIsMethod;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % 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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Daniele Nicolodi <nicolodi@science.unitn.it>
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 % Apply defaults to plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 usepl = applyDefaults(getDefaultPlist, varargin{:});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 % Check for type
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 if isa(bs(1).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 nDim = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 nX = bs(1).len;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 elseif isa(bs(1).data, 'data2D')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 nDim = 2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 nX = length(bs(1).x);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 error('map3D accepts only 1 and 2D input AOs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 for kk=2:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 if isa(bs(kk).data, 'cdata') && nDim ~= 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 error('map3D needs either 1D or 2D inputs, but not mixed');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 elseif isa(bs(kk).data, 'data2D') && nDim ~= 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 error('map3D needs either 1D or 2D inputs, but not mixed');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 elseif ~isa(bs(kk).data, 'cdata') && ~isa(bs(kk).data, 'data2D')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 error('map3D accepts only 1 and 2D input AOs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 if nDim == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 if bs(kk).len ~= nX
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 error('All input AOs must be of the same length');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 if length(bs(kk).x) ~= nX
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 error('All input AOs must be of the same length');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 if nDim == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 z = bs.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 x = 1:bs(1).len;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 y = 1:numel(bs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 xunits = 'Index';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 yunits = 'Index';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 zunits = bs(1).yunits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 z = bs.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 x = bs(kk).x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 y = 1:numel(bs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 xunits = bs(1).xunits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 yunits = 'Index';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 zunits = bs(1).yunits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 % Output data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 do = xyzdata(x, y, z.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 do.setXunits(xunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 do.setYunits(yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 do.setZunits(zunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 a = ao();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 a.data = do;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 % name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 name = 'map3D(';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 for kk=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 name = [name sprintf('%s,', ao_invars{kk})];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 name = [name(1:end-1) ')'];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 a.name = name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 if ~callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 a.addHistory(getInfo('None'), usepl, ao_invars, [bs.hist]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 varargout = utils.helper.setoutputs(nargout, a);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: map3D.m,v 1.2 2011/11/18 10:33:51 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 % General plist for Welch-based, linearly spaced spectral estimators
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164