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view m-toolbox/classes/@ao/upsample.m @ 16:91f21a0aab35 database-connection-manager
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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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% UPSAMPLE overloads upsample function for AOs. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: UPSAMPLE AOs containing time-series data. All other AOs with % no time-series data are skipped but appear in the output. % % A signal at sample rate fs is upsampled by inserting N-1 zeros between the % input samples. % % CALL: b = upsample(a, pl) % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'upsample')">Parameters Description</a> % % VERSION: $Id: upsample.m,v 1.29 2011/07/14 05:33:18 mauro Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = upsample(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); 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 output sample rate Nup = find(pl, 'N'); if isempty(Nup) error('### Please give a plist with a parameter ''N''.'); end % Get initial phase phase = find(pl, 'phase'); if isempty(phase) phase = 0; end % Loop over AOs for jj = 1:numel(bs) if ~isa(bs(jj).data, 'tsdata') warning('!!! Upsample only works on tsdata objects. Skipping AO %s', ao_invars{jj}); else % upsample y bs(jj).data.setY(upsample(bs(jj).data.y, floor(Nup), phase)); % Correct fs bs(jj).data.setFs(floor(Nup)*bs(jj).data.fs); % Set name bs(jj).name = sprintf('upsample(%s)', ao_invars{jj}); % Add history bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist); % clear errors bs(jj).clearErrors; end 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: upsample.m,v 1.29 2011/07/14 05:33:18 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(); % N p = param({'N', 'The upsample factor.'}, paramValue.DOUBLE_VALUE(1)); pl.append(p); % phase p = param({'phase', 'The initial phase [0, N-1].'}, paramValue.DOUBLE_VALUE(0)); pl.append(p); end