--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/classes/@ao/resample.m	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,139 @@
+% RESAMPLE overloads resample function for AOs.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% DESCRIPTION: RESAMPLE overloads resample function for AOs.
+%
+% CALL:        bs = resample(a1,a2,a3,...,pl)
+%              bs = resample(as,pl)
+%              bs = as.resample(pl)
+%
+% INPUTS:      aN   - input analysis objects
+%              as   - input analysis objects array
+%              pl   - input parameter list
+%
+% OUTPUTS:     bs   - array of analysis objects, one for each input
+%
+% <a href="matlab:utils.helper.displayMethodInfo('ao', 'resample')">Parameters Description</a>
+%
+% VERSION:    $Id: resample.m,v 1.50 2011/07/14 05:33:18 mauro Exp $
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function varargout = resample(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);
+  
+  if isempty(pl)
+    error('### Please give a plist with a parameter ''fsout''.');
+  end
+  
+  % Get output sample rate
+  fsout = find(pl, 'fsout');
+  if isempty(fsout)
+    error('### Please give a plist with a parameter ''fsout''.');
+  end
+  
+  % Get a filter if specified
+  filt = find(pl, 'filter');
+  if ~isempty(filt) && ~isa(filt, 'mfir')
+    error('The filter specified must be an mfir filter object (FIR filter).');
+  end
+  
+  % Loop over AOs
+  for jj = 1:numel(bs)
+    if ~isa(bs(jj).data, 'tsdata')
+      warning('!!! Skipping non-tsdata AO: %s', ao_invars{jj});
+    else
+      % Compute the resampling factors
+      [P,Q] = utils.math.intfact(fsout,bs(jj).data.fs);
+      utils.helper.msg(msg.PROC1, 'resampling by %g/%g', P, Q);
+      
+      % Check we have an evenly sampled data series
+      if ~bs(jj).data.evenly()
+        error('### The AO %s is unevenly sampled. It can not be resampled this way.', ao_invars{jj});
+      end
+      % resample y
+      if isempty(filt)
+        bs(jj).data.setY(resample(bs(jj).data.getY, P, Q));
+      else
+        [p,q] = rat( fsout/bs(jj).fs, 1e-12 );
+        b = p*filt.a;
+        bs(jj).data.setY(resample(bs(jj).data.getY, P, Q, b));
+      end
+      % Set new sample rate
+      bs(jj).data.setFs(fsout);
+      % Set output AO name
+      bs(jj).name = sprintf('resample(%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: resample.m,v 1.50 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();
+  
+  % Type
+  p = param({'fsout',['The desired output frequency<br>'...
+    '(must be positive and integer).']}, paramValue.EMPTY_DOUBLE);
+  pl.append(p);
+  
+  p = param({'filter', 'The filter to apply in the resampling process.'}, paramValue.EMPTY_STRING);
+  pl.append(p);
+  
+end
+% END
+