--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/classes/@ao/interp.m	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,155 @@
+% INTERP interpolate the values in the input AO(s) at new values.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% DESCRIPTION: INTERP interpolate the values in the input AO(s) at new values
+%              specified by the input parameter list.
+%
+% CALL:        b = interp(a, pl)
+%
+% INPUTS:      a  - input array of AOs
+%              pl - parameter list with the keys 'vertices' and 'method'
+%
+% OUTPUTS:     b  - output array of AOs
+%
+% REMARKs:    1) Matrix cdata objects are not supported.
+%             2) If a time-series object is interpolated, the sample rate
+%             is adjusted to the best fit of the new data.
+%
+% <a href="matlab:utils.helper.displayMethodInfo('ao', 'interp')">Parameters Description</a>
+%
+% VERSION:     $Id: interp.m,v 1.43 2011/08/23 13:49:41 hewitson Exp $
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function varargout = interp(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 parameters
+  vertices = find(pl, 'vertices');
+  method   = find(pl, 'method');
+  
+  utils.helper.msg(msg.PROC1, 'using %s interpolation', method);
+  
+  %-----------------------
+  % Loop over input AOs
+  for jj = 1:numel(bs)
+    %----------------------------
+    % Interpolate this vector
+    if ~isa(bs(jj).data, 'cdata')
+      x = bs(jj).x;
+      y = bs(jj).y;
+      dy = bs(jj).dy;
+      % for tsdata, fsdata and xydata objects
+      bs(jj).data.setXY(vertices, interp1(x,y,vertices, method, 'extrap'));
+      if isa(bs(jj).data, 'tsdata') 
+        % here we have to set the toffset to 0 because that information is
+        % stored in the x-values until it is collapsed below. Otherwise we
+        % end up with double the toffset.
+        bs(jj).data.setToffset(0);
+      end
+      if ~isempty(dy) && numel(dy) > 1
+        bs(jj).data.setDy(interp1(x, dy, vertices, method, 'extrap'));
+      end
+      if isprop(bs(jj).data, 'enbw')
+        if ~isempty(bs(jj).data.enbw) && numel(bs(jj).data.enbw) > 1
+          bs(jj).data.setEnbw(interp1(x, bs(jj).data.enbw, vertices, method, 'extrap'));
+        end
+      end
+    else
+      % for cdata object
+      bs(jj).data.setY(interp1(bs(jj).data.y,vertices, method, 'extrap'));
+      if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+        bs(jj).data.setDy(interp1(bs(jj).dy, vertices, method, 'extrap'));
+      end
+    end
+    
+    % Adjust sample rate for tsdata
+    if isa(bs(jj).data, 'tsdata')
+      utils.helper.msg(msg.PROC1, 'adjusting sample rate of new data to best fit');
+      [fs, t0, fitted] = tsdata.fitfs(bs(jj).data.getX);
+      utils.helper.msg(msg.PROC2, 'got new sample rate of %g Hz', fs);
+      utils.helper.msg(msg.PROC2, 'got new t0 %g', t0);
+      bs(jj).data.setFs(fs);
+      if ~fitted
+        bs(jj).data.collapseX;
+      end
+    end
+    % set name
+    bs(jj).name = sprintf('%s(%s)', method, ao_invars{jj});
+    % Add history
+    bs(jj).addHistory(getInfo('None'), pl, ao_invars, bs(jj).hist);
+  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: interp.m,v 1.43 2011/08/23 13:49:41 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();
+  
+  % Vertices
+  p = param({'vertices', 'A new set of vertices to interpolate on.'}, paramValue.EMPTY_DOUBLE);
+  pl.append(p);
+  
+  % Method
+  p = param({'method', 'Specify the interpolation method.'},{3, {'nearest', 'linear', 'spline', 'cubic'}, paramValue.SINGLE});
+  pl.append(p);
+  
+end