--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/classes/@ao/upsample.m	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,115 @@
+% 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