Mercurial > hg > ltpda
view m-toolbox/classes/@ao/zeropad.m @ 14:6d43f39633b8 database-connection-manager
Remove unused functions from utils.jmysql
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
children |
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% ZEROPAD zero pads the input data series. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: ZEROPAD zero pads the input data series. % % CALL: b = zeropad(a, pl) % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'zeropad')">Parameters Description</a> % % VERSION: $Id: zeropad.m,v 1.28 2011/04/08 08:56:15 hewitson Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = zeropad(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()); % Extract necessary parameters Factor = find(pl, 'Factor'); N = find(pl, 'N'); pos = find(pl, 'position'); if isempty(Factor) && isempty(N) error('### Specify either a padding Factor, or a number of samples.'); end % Loop over input AOs for j=1:numel(bs) if ~isa(bs(j).data, 'tsdata') error('Zero padding only works on time-series. AO %s is not a time-series.', ao_invars{j}); else % Check the time-series is evenly samples if ~isempty(bs(j).data.x) error('### Zero padding only makes sense on evenly sampled time-series. Resample first.'); end if isempty(N) if Factor < 2 error('### Padding factor must be >= 2') end if strcmpi(pos, 'pre') bs(j).data.setY([repmat(zeros(size(bs(j).data.getY)), Factor-1, 1); bs(j).data.getY]); elseif strcmpi(pos, 'post') bs(j).data.setY([bs(j).data.getY; repmat(zeros(size(bs(j).data.getY)), Factor-1, 1)]); else error('Unknown ''position'' to pad. Choose either ''pre'' or ''post'' for the ''position'' value.'); end else if N > 0 if strcmpi(pos, 'pre') bs(j).data.setY([zeros(N,1); bs(j).data.getY]); elseif strcmpi(pos, 'post') bs(j).data.setY([bs(j).data.getY; zeros(N,1)]); else error('Unknown ''position'' to pad. Choose either ''pre'' or ''post'' for the ''position'' value.'); end else error('### Number of samples to pad must be > 0'); end end % Set name bs(j).name = sprintf('zeropad(%s)', ao_invars{j}); % Correct Nsecs bs(j).data.fixNsecs; % Add history bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist); % clear errors bs(j).clearErrors; 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: zeropad.m,v 1.28 2011/04/08 08:56:15 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(); % Factor p = param({'Factor', 'Pad to <Factor> times the input data length.'}, paramValue.DOUBLE_VALUE(2)); pl.append(p); % N p = param({'N', 'Pad with N zero samples.'}, paramValue.EMPTY_DOUBLE); pl.append(p); % Position p = param({'Position', 'Where to pad: before or after.'}, {2, {'pre', 'post'}, paramValue.SINGLE}); pl.append(p); end % END % PARAMETERS: 'Factor' - Pad to <Factor> times the input data length % [default: 2] % or % 'N' - Pad with N zero samples