diff m-toolbox/classes/@ao/delay.m @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
parents
children
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/m-toolbox/classes/@ao/delay.m	Wed Nov 23 19:22:13 2011 +0100
@@ -0,0 +1,131 @@
+% DELAY delays a time-series using various methods.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% DESCRIPTION: DELAY delays a time-series using various methods.
+%
+% CALL:        b = delay(a, pl)
+%
+%
+% PARAMETERS:  N   - delay the time-series by N samples. [default: 0]
+%                    Choose a 'method' for how the end of the time-series
+%                    is handled:
+%                    'zero'   - zero pad the time-series
+%
+% <a href="matlab:utils.helper.displayMethodInfo('ao', 'delay')">Parameters Description</a>
+% 
+% EXAMPLES:    1) Shift by 10 samples and zero pad the end of the time-series
+%                 >> b = delay(a, plist('N', 10, 'method', 'zero'));
+%
+%
+% VERSION:     $Id: delay.m,v 1.27 2011/04/08 08:56:11 hewitson Exp $
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+% TODO
+%                        'extrap' - extrapolate the last N samples
+
+function varargout = delay(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              = 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
+
+  % 1: Sample shift
+  N      = find(pl, 'N');
+  method = find(pl, 'method');
+
+  % Loop over AOs
+  for j=1:numel(bs)
+    if ~isa(bs(j).data, 'tsdata')
+      warning('!!! Skipping object %s - it contains no tsdata.', ao_invars{j});
+    else
+      % Which method to use
+      switch lower(method)
+        case 'zero'
+          bs(j).data.setY([zeros(N,1); bs(j).data.getY(1:end-N)]);
+        otherwise
+          error('### Unknown method for dealing with end of time-series.');
+      end
+      % make output analysis object
+      bs(j).name = sprintf('delay(%s)', ao_invars{j});
+      % Add history
+      bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist);
+      % Clear the errors since they don't make sense anymore
+      clearErrors(bs(j));
+    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: delay.m,v 1.27 2011/04/08 08:56:11 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();
+  
+  % N
+  p = param({'N', 'The number of samples to delay by.'}, {1, {0}, paramValue.OPTIONAL});
+  pl.append(p);
+  
+  % Method
+  p = param({'method', 'The method for handling the end of the time-series.'}, {1, {'zero'}, paramValue.SINGLE});
+  pl.append(p);
+end
+
+