IMAG overloads the imaginary operator for Analysis objects. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: IMAG overloads the imaginary operator for Analysis objects. CALL: ao_out = imag(ao_in); ao_out = imag(ao_in, pl); POSSIBLE VALUES: ao_in = [ao2 ao3] ao_in = ao_vector ao_in = ao_matrix PARAMETER LIST: <key> <value> <description> tsdata fsdata xydata 'xdata' 't' 'f' 'x' compute the xdata 'ydata' 'x' 'xx' 'y' compute the ydata The following call returns a parameter list object that contains the default parameter values: >> pl = imag(ao, 'Params') VERSION: $Id: imag.m,v 1.2 2007/10/09 14:05:25 ingo Exp $ HISTORY: 20-0802007 Diepholz Creation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
0001 function ao_out = imag(varargin) 0002 % IMAG overloads the imaginary operator for Analysis objects. 0003 % 0004 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0005 % 0006 % DESCRIPTION: IMAG overloads the imaginary operator for Analysis objects. 0007 % 0008 % CALL: ao_out = imag(ao_in); 0009 % ao_out = imag(ao_in, pl); 0010 % 0011 % POSSIBLE VALUES: ao_in = [ao2 ao3] 0012 % ao_in = ao_vector 0013 % ao_in = ao_matrix 0014 % 0015 % PARAMETER LIST: <key> <value> <description> 0016 % tsdata fsdata xydata 0017 % 'xdata' 't' 'f' 'x' compute the xdata 0018 % 'ydata' 'x' 'xx' 'y' compute the ydata 0019 % 0020 % The following call returns a parameter list object that contains the 0021 % default parameter values: 0022 % 0023 % >> pl = imag(ao, 'Params') 0024 % 0025 % VERSION: $Id: imag.m,v 1.2 2007/10/09 14:05:25 ingo Exp $ 0026 % 0027 % HISTORY: 20-0802007 Diepholz 0028 % Creation 0029 % 0030 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0031 0032 VERSION = '$Id: imag.m,v 1.2 2007/10/09 14:05:25 ingo Exp $'; 0033 ao_out = []; 0034 pl = []; 0035 0036 %% Check if this is a call for parameters 0037 if nargin == 2 0038 if isa(varargin{1}, 'ao') && ischar(varargin{2}) 0039 in = char(varargin{2}); 0040 if strcmp(in, 'Params') 0041 ao_out = getDefaultPL(); 0042 return 0043 elseif strcmp(in, 'Version') 0044 ao_out = VERSION; 0045 return 0046 end 0047 end 0048 end 0049 0050 %% store the input ao's in the vector: ao_set 0051 ao_set = []; 0052 for i=1:nargin 0053 a = varargin{i}; 0054 if isa(a, 'ao') 0055 ao_set = [ao_set a]; 0056 elseif isa(varargin{i}, 'plist') 0057 pl = [pl varargin{i}]; 0058 end 0059 end 0060 0061 if ~isempty (pl) 0062 pl = combine(pl); 0063 end 0064 0065 %% go through analysis objects 0066 for j=1:numel(ao_set) 0067 a = ao_set(j); 0068 0069 [h, imag_data] = single_operation(a.data, 'imag', pl); 0070 0071 %% Add the history from the ao object to the history 0072 h = set(h, 'inhists', [a.hist]); 0073 0074 %% Set the var_name to the history 0075 if (j <= nargin) 0076 if (isempty (inputname(j))) 0077 h = set(h, 'invars', cellstr('no var_name')); 0078 else 0079 h = set(h, 'invars', cellstr(inputname(j))); 0080 end 0081 else 0082 h = set(h, 'invars', cellstr('no var_name')); 0083 end 0084 0085 %% create a new analysis objects 0086 new_ao = a; 0087 new_ao = ao (imag_data, h); 0088 new_ao = set (new_ao, 'name', sprintf('imag(%s)',a.name) ); 0089 0090 ao_out = [ao_out new_ao]; 0091 0092 end 0093 0094 % Reshape the ouput to the same size of the input 0095 ao_out = reshape(ao_out, size(ao_set)); 0096 0097 0098 %% Get default params 0099 function pl_default = getDefaultPL() 0100 0101 pl_default = plist([param('xdata', '') 0102 param('ydata', '')]); 0103 0104 0105 % END