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view m-toolbox/classes/@ao/ifft.m @ 25:79dc7091dbbc database-connection-manager
Update tests
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% IFFT overloads the ifft operator for Analysis objects. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: IFFT overloads the ifft operator for Analysis objects. % % CALL: b = ifft(a, pl) % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'ifft')">Parameters Description</a> % % VERSION: $Id: ifft.m,v 1.31 2011/04/28 21:31:31 mauro Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = ifft(varargin) % Check if this is a call for parameters if utils.helper.isinfocall(varargin{:}) varargout{1} = getInfo(varargin{3}); return end import utils.const.* utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename); % Collect input variable names in_names = cell(size(varargin)); for ii = 1:nargin,in_names{ii} = inputname(ii);end % Collect all AOs and plists [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); % Decide on a deep copy or a modify bs = copy(as, nargout); % Apply defaults to plist pl = applyDefaults(getDefaultPlist, varargin{:}); % two-sided or one? type = find(pl, 'type'); % scale? scale = utils.prog.yes2true(find(pl, 'scale')); % Check input analysis object for jj = 1:numel(bs) % call core method of the fft bs(jj).ifft_core(type); if scale bs(jj) = bs(jj)./ao(plist('vals',1/as(jj).fs,'yunits','Hz^-1')); bs(jj).simplifyYunits(); end % Set name bs(jj).name = sprintf('ifft(%s)', ao_invars{jj}); % Add history bs(jj).addHistory(getInfo('None'), pl, ao_invars, bs(jj).hist); end % Set output varargout = utils.helper.setoutputs(nargout, bs); end %-------------------------------------------------------------------------- % Get Info Object %-------------------------------------------------------------------------- function ii = getInfo(varargin) if nargin == 1 && strcmpi(varargin{1}, 'None') sets = {}; pl = []; else sets = {'Default'}; pl = getDefaultPlist(); end % Build info object ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: ifft.m,v 1.31 2011/04/28 21:31:31 mauro Exp $', sets, pl); end %-------------------------------------------------------------------------- % Get Default Plist %-------------------------------------------------------------------------- function plout = getDefaultPlist() persistent pl; if ~exist('pl', 'var') || isempty(pl) pl = buildplist(); end plout = pl; end function pl = buildplist() pl = plist(); % Type p = param({'type', 'Assume the data is symmetric or nonsymmetric.'}, {1, {'symmetric', 'nonsymmetric'}, paramValue.SINGLE}); pl.append(p); % Scale by sample rate? p = param({'scale',['set to ''true'' to scale FFT by sampling rate to match '... 'amplitude in continuous domain. Only applicable to data with sampel rates.']},... paramValue.FALSE_TRUE); pl.append(p); end