Mercurial > hg > ltpda
diff m-toolbox/classes/@ao/delay.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/classes/@ao/delay.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,131 @@ +% DELAY delays a time-series using various methods. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% +% DESCRIPTION: DELAY delays a time-series using various methods. +% +% CALL: b = delay(a, pl) +% +% +% PARAMETERS: N - delay the time-series by N samples. [default: 0] +% Choose a 'method' for how the end of the time-series +% is handled: +% 'zero' - zero pad the time-series +% +% <a href="matlab:utils.helper.displayMethodInfo('ao', 'delay')">Parameters Description</a> +% +% EXAMPLES: 1) Shift by 10 samples and zero pad the end of the time-series +% >> b = delay(a, plist('N', 10, 'method', 'zero')); +% +% +% VERSION: $Id: delay.m,v 1.27 2011/04/08 08:56:11 hewitson Exp $ +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +% TODO +% 'extrap' - extrapolate the last N samples + +function varargout = delay(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 + [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); + pl = utils.helper.collect_objects(varargin(:), 'plist', in_names); + + % Decide on a deep copy or a modify + bs = copy(as, nargout); + + % Combine plists + pl = parse(pl, getDefaultPlist); + + %----------- Get parameters + + % 1: Sample shift + N = find(pl, 'N'); + method = find(pl, 'method'); + + % Loop over AOs + for j=1:numel(bs) + if ~isa(bs(j).data, 'tsdata') + warning('!!! Skipping object %s - it contains no tsdata.', ao_invars{j}); + else + % Which method to use + switch lower(method) + case 'zero' + bs(j).data.setY([zeros(N,1); bs(j).data.getY(1:end-N)]); + otherwise + error('### Unknown method for dealing with end of time-series.'); + end + % make output analysis object + bs(j).name = sprintf('delay(%s)', ao_invars{j}); + % Add history + bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist); + % Clear the errors since they don't make sense anymore + clearErrors(bs(j)); + end + end + + + % Set output + if nargout == numel(bs) + % List of outputs + for ii = 1:numel(bs) + varargout{ii} = bs(ii); + end + else + % Single output + varargout{1} = bs; + end +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: delay.m,v 1.27 2011/04/08 08:56:11 hewitson Exp $', sets, pl); +end + +%-------------------------------------------------------------------------- +% Get Default Plist +%-------------------------------------------------------------------------- + +function plout = getDefaultPlist() + persistent pl; + if exist('pl', 'var')==0 || isempty(pl) + pl = buildplist(); + end + plout = pl; +end + +function pl = buildplist() + pl = plist(); + + % N + p = param({'N', 'The number of samples to delay by.'}, {1, {0}, paramValue.OPTIONAL}); + pl.append(p); + + % Method + p = param({'method', 'The method for handling the end of the time-series.'}, {1, {'zero'}, paramValue.SINGLE}); + pl.append(p); +end + +