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Update ltpda_uo.submit
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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% FNGEN creates an arbitrarily long time-series based on the input pzmodel. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: FNGEN creates an arbitrarily long time-series based on the % input pzmodel. % % CALL: b = fngen(pzm, pl) % % PARAMETERS: 'Nsecs' - The number of seconds to produce % [default: inverse of PSD length] % 'Win' - The spectral window to use for blending segments % [default: Kaiser -150dB] % % <a href="matlab:utils.helper.displayMethodInfo('pzmodel', 'fngen')">Parameters Description</a> % % VERSION: $Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = fngen(varargin) %%% Check if this is a call for parameters if utils.helper.isinfocall(varargin{:}) varargout{1} = getInfo(varargin{3}); return end % Collect input variable names in_names = cell(size(varargin)); for ii = 1:nargin,in_names{ii} = inputname(ii);end % Collect all AOs and plists [pzms, pzm_invars] = utils.helper.collect_objects(varargin(:), 'pzmodel', in_names); pl = utils.helper.collect_objects(varargin(:), 'plist', in_names); % combine plists pl = combine(pl, getDefaultPlist()); % Loop over input pzms bs(1:numel(pzms)) = ao(); for j=1:numel(pzms) % get sample rate to specify Nyquist fs = find(pl, 'fs'); if isempty(fs) fs = round(getupperFreq(pzms(j)) * 10); end if fs < 1 fs = 1; end % Compute the frequency vector Nf = 10001; f1 = 0; f2 = fs/2; f = linspace(f1,f2,Nf); N = 2*(Nf-1); % Compute model response w = ao(plist('tsfcn', 'sqrt(fs/2).*randn(size(t))', 'fs', fs, 'Nsecs', N)); wxx = pwelch(w, plist('Nfft', N, 'win', specwin('Rectangular', N))); axx = resp(pzms(j), plist('f', f)); % Compute desired PSD wxx.data.setY(wxx.y .* (abs(axx.y).^2)); % Call ao/fngen b = fngen(wxx, pl); b.data.setXunits('s'); b.data.setYunits(''); % Add history b.addHistory(getInfo('None'), pl, pzm_invars(j), pzms(j).hist); % Add to outputs bs(j) = b; end % Set outputs varargout{1} = bs; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Local Functions % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % FUNCTION: getInfo % % DESCRIPTION: Get Info Object % % HISTORY: 11-07-07 M Hewitson % Creation. % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 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, 'pzmodel', 'ltpda', utils.const.categories.sigproc, '$Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $', sets, pl); ii.setModifier(false); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % FUNCTION: getDefaultPlist % % DESCRIPTION: Get Default Plist % % HISTORY: 11-07-07 M Hewitson % Creation. % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function plout = getDefaultPlist() persistent pl; if exist('pl', 'var')==0 || isempty(pl) pl = buildplist(); end plout = pl; end function pl = buildplist() pl = plist(); % Nsecs p = param({'Nsecs', 'The length of the time-series in seconds.'}, paramValue.DOUBLE_VALUE(-1)); pl.append(p); % Win p = param({'Win', 'The window to use in the blending of consecutive segments.'}, paramValue.WINDOW); pl.append(p); end