Mercurial > hg > ltpda
view m-toolbox/classes/@ao/downsample.m @ 39:11e3ed9d2115 database-connection-manager
Implement databases listing in database connection dialog
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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% DOWNSAMPLE AOs containing time-series data. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: DOWNSAMPLE AOs containing time-series data. All other AOs with % no time-series data are skipped but appear in the output. % Note that no anti-aliasing filter is applied to the % original data!!! % CALL: b = downsample(a, pl) - use plist to get parameters % b = downsample(a1, a2, pl) - downsample both a1 and a2; % b is then a 2x1 vector. % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'downsample')">Parameters Description</a> % % EXAMPLES: 1) downsample x4; offset is set to default of 0 % % >> p = plist('factor',4); % >> b = downsample(a, p); % % 2) downsample x2 with 1 sample offset % % >> p = plist('factor',2,'offset',1); % >> b = downsample(a,p); % % % VERSION: $Id: downsample.m,v 1.34 2011/07/14 05:33:18 mauro Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = downsample(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, pl_invars] = 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 from plist offset = find(pl, 'offset'); factor = find(pl, 'factor'); % Checking downsampling value is valid if isempty(factor) error('### Please give a plist with a parameter ''Factor''.'); end % Checking downsampling value is integer if rem(factor, floor(factor)) ~= 0 warning('!!! Downsample factor should be an integer. Rounding. !!!'); factor = round(factor); end % Checking sample offset value if isempty(offset) warning('!!! No offset specified; using default of 0 samples !!!'); offset = 0; end if factor == 0 error('### The downsampling factor is zero. Please set a positive integer value.'); end % Loop over input AOs for jj = 1:numel(bs) if isa(bs(jj).data, 'tsdata') % get samples ss = 1+offset; samples = ss:factor:length(bs(jj).data.y); % select samples bs(jj).data.setXY(bs(jj).data.getX(samples), bs(jj).data.getY(samples)); % Set new sample rate bs(jj).data.setFs(bs(jj).data.fs/factor); % drop X vector again if we can bs(jj).data.collapseX; % set name bs(jj).name = sprintf('downsample(%s)', ao_invars{jj}); % Add history bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist); % Clear the errors since they don't make sense anymore clearErrors(bs(jj)); else warning('!!! Downsample only works on tsdata objects. Skipping AO %s', ao_invars{jj}); 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: downsample.m,v 1.34 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(); % Factor p = param({'factor', 'The decimation factor. Should be an integer.'}, {1, {1}, paramValue.OPTIONAL}); pl.append(p); % Offset p = param({'offset', 'The sample offset used in the decimation.'}, {1, {0}, paramValue.OPTIONAL}); pl.append(p); end