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annotate m-toolbox/classes/@smodel/ifourier.m @ 36:5eb86f6881ef database-connection-manager

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Remove commented-out code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % IFOURIER implements continuous f-domain inverse Fourier transform for smodel objects.
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION: IFOURIER implements continuous f-domain inverse Fourier transform for smodel objects.
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5 %
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6 % CALL: obj = ifourier(mdl, ret_var)
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7 % obj = mdl.ifourier(ret_var)
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8 % obj = mdl.ifourier(in_var, ret_var) [Please note the order!]
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9 % obj = mdl.ifourier(plist('ret_var', ret_var, 'in_var', in_var))
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10 % obj = mdl.ifourier(pl)
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11 %
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12 % INPUTS: mdl - input smodels
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13 % ret_var - a string with a variable name to transform into
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14 % in_var - a string with a variable name to transform with respect to
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15 % pl - input parameter list
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16 %
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17 % OUTPUTS: obj - output smodel(s)
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18 %
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19 % <a href="matlab:utils.helper.displayMethodInfo('smodel', 'ifourier')">Parameters Description</a>
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20 %
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21 % VERSION: $Id: ifourier.m,v 1.10 2011/04/08 08:56:29 hewitson Exp $
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22 %
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23 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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24
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25 function varargout = ifourier(varargin)
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26
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27 % Settings
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28 operatorName = 'ifourier';
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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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36 % Check if the method was called by another method
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37 callerIsMethod = utils.helper.callerIsMethod;
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38
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39 % Collect input variable names
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40 in_names = cell(size(varargin));
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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 smodels and plists
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44 [as, smodel_invars, rest] = utils.helper.collect_objects(varargin(:), 'smodel', in_names);
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45 [pl, pl_invars, rest] = utils.helper.collect_objects(rest(:), 'plist', in_names);
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46
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47 % Decide on a deep copy or a modify
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48 mdls = copy(as, nargout);
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49
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50 % Combine input plists and default PLIST
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51 pl = parse(pl, getDefaultPlist());
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52
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53 % Select the variable to transform with respect to:
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54 [in_var, ret_var, pl] = utils.helper.process_smodel_transf_options(pl, rest);
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55
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56 % Check the independent variable
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57 if isempty(in_var)
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58 in_var = as.xvar;
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59 end
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60
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61 if isempty(in_var)
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62 error(['### Please specify the independent variable to transform with respect to, ' ...
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63 'or set the xvar properties of the model(s)!']);
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64 end
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65
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66 % If the method was called by another method, we do not need to set history.
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67 % As such, the info object can be empty
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68 if callerIsMethod
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69 infoObj = [];
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70 else
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71 infoObj = getInfo('None');
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72 end
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73
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74 % Apply the method to all models
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75 mdls.sop(callerIsMethod, smodel_invars, operatorName, {in_var, ret_var}, pl, infoObj);
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76
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77 % Set units
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78 if strcmp(in_var, as.xvar)
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79 setYunits(mdls, mdls.yunits .* mdls.xunits);
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80 setXunits(mdls, 1 ./ mdls.xunits);
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81 end
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82
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83 % Set output
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84 varargout{1} = mdls;
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85
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86 end
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87
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88 %--------------------------------------------------------------------------
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89 % Get Info Object
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90 %--------------------------------------------------------------------------
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91 function ii = getInfo(varargin)
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92
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93 if nargin == 1 && strcmpi(varargin{1}, 'None')
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94 sets = {};
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95 pls = [];
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96 else
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97 sets = {'Default'};
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98 pls = getDefaultPlist();
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99 end
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100 % Build info object
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101 ii = minfo(mfilename, 'smodel', 'ltpda', utils.const.categories.op, '$Id: ifourier.m,v 1.10 2011/04/08 08:56:29 hewitson Exp $', sets, pls);
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102 ii.setArgsmin(1);
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103 end
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104
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105 %--------------------------------------------------------------------------
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106 % Get Default Plist
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107 %--------------------------------------------------------------------------
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108 function plout = getDefaultPlist()
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109 persistent pl;
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110 if ~exist('pl', 'var') || isempty(pl)
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111 pl = buildplist();
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112 end
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113 plout = pl;
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114 end
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115
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116 function pl = buildplist()
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117 pl = plist();
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118
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119 % Ret_Var
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120 p = param({'ret_var', 'Return variable, to transform into.'}, paramValue.STRING_VALUE('t'));
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121 pl.append(p);
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122
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123 % In_Var
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124 p = param({'in_var', ['Independent variable, to transform with respect to.<br>' ...
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125 'If left empty, the x variable of the model(s) will be used']}, paramValue.STRING_VALUE(''));
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126 pl.append(p);
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127
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128 end
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129