line source
+ − % REMOVEVAL removes values from the input AO(s).
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ − %
+ − % DESCRIPTION: REMOVEVAL removes user specified value(s) from the input AO(s),
+ − % such as NaNs, Infs, or 0s. Depending on the values set in the plist,
+ − % it will replace them with nothing or with an interpolated value
+ − %
+ − % CALL: b = removeVal(a, pl)
+ − %
+ − % INPUTS: a - input array of AOs
+ − % pl - parameter list with the keys 'axis' and 'method'
+ − %
+ − % OUTPUTS: b - output array of AOs
+ − %
+ − % REMARKs:
+ − %
+ − % <a href="matlab:utils.helper.displayMethodInfo('ao', 'removeVal')">Parameters Description</a>
+ − %
+ − % VERSION: $Id: removeVal.m,v 1.10 2011/05/27 10:30:43 mauro Exp $
+ − %
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ −
+ − function varargout = removeVal(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
+ − ax = find(pl, 'axis');
+ − method = find(pl, 'method');
+ − value = find(pl, 'value');
+ − interp_method = find(pl, 'interpolation');
+ −
+ − %-----------------------
+ − % Loop over input AOs
+ − for jj = 1:numel(bs)
+ − % record input history
+ − hin = bs(jj).hist;
+ −
+ − switch ax
+ − case 'y'
+ − % Find the index position of the elements to remove
+ − validY = true(size(bs(jj).y));
+ − for kk = 1:numel(value)
+ − if isnumeric(value(kk))
+ − if isfinite(value(kk))
+ − validY = validY & bs(jj).y ~= value(kk);
+ − else
+ − if isnan(value(kk))
+ − validY = validY & ~isnan(bs(jj).y);
+ − end
+ − if isinf(value(kk))
+ − validY = validY & ~isinf(bs(jj).y);
+ − end
+ − end
+ − end
+ − end
+ −
+ − % Go ahead and act on the data
+ − switch method
+ − case 'remove'
+ − if ~isa(bs(jj).data, 'cdata')
+ − % for tsdata, fsdata and xydata objects
+ − % Set X,Y
+ − x = bs(jj).x;
+ − bs(jj).setXY(...
+ − x(validY), bs(jj).data.y(validY));
+ − % Set DY
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − bs(jj).setDy(bs(jj).data.dy(validY));
+ − end
+ − clear x;
+ − else
+ − % for cdata objects
+ − % Set Y
+ − bs(jj).setY(...
+ − bs(jj).data.y(validY));
+ − % Set DY
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − bs(jj).setDy(bs(jj).data.dy(validY));
+ − end
+ − end
+ −
+ − % Set ENBW
+ − if isprop(bs(jj).data, 'enbw')
+ − bs(jj).data.setEnbw(bs(jj).enbw(validY));
+ − end
+ −
+ − % Set FS
+ − if isprop(bs(jj).data, 'fs') && isa(bs(jj).data, 'tsdata')
+ − bs(jj).data.setFs(bs(jj).fs); % TODO: we should recalculate it ...
+ − end
+ −
+ − case 'interp'
+ − if ~isa(bs(jj).data, 'cdata')
+ − % for tsdata, fsdata and xydata objects
+ − % Set Y
+ − x = bs(jj).x;
+ − y = bs(jj).y;
+ −
+ − % We need at least two valid points to interpolate on
+ − if sum(validY) >= 2
+ − % Set Y
+ − bs(jj).setY(...
+ − interp1(x(validY), y(validY), x, interp_method, 'extrap'));
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − % Set DY
+ − bs(jj).setDy(interp1(x(validY), bs(jj).data.dy(validY), x, interp_method, 'extrap'));
+ − end
+ − if isprop(bs(jj).data, 'enbw')
+ − % Set ENBW
+ − if ~isempty(bs(jj).data.enbw) && numel(bs(jj).data.enbw) > 1
+ − bs(jj).data.setEnbw(interp1(x(validY), bs(jj).enbw(validY), x, interp_method, 'extrap'));
+ − end
+ − end
+ − else
+ − % If we have 0 or 1 valid points, just set them
+ − % Set Y
+ − bs(jj).setXY(...
+ − x(validY), bs(jj).data.y(validY));
+ − % Set DY
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − bs(jj).setDy(bs(jj).data.dy(validY));
+ − end
+ − % Set ENBW
+ − if isprop(bs(jj).data, 'enbw')
+ − bs(jj).data.setEnbw(bs(jj).enbw(validY));
+ − end
+ − % Set FS
+ − if isprop(bs(jj).data, 'fs') && isa(bs(jj).data, 'tsdata')
+ − bs(jj).data.setFs(bs(jj).fs); % TODO: we should recalculate it ...
+ − end
+ − end
+ − clear x y;
+ − else
+ − % for cdata object
+ − % We need at least two valid points to interpolate on
+ − if sum(validY) >= 2
+ − % Set Y
+ − bs(jj).setY(interp1(bs(jj).data.y(validY), [1:lenght(bs(jj).y)], method, 'extrap'));
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − % Set DY
+ − bs(jj).setDy(interp1(bs(jj).x(validY), bs(jj).data.dy(validY), [1:lenght(bs(jj).y)], interp_method, 'extrap'));
+ − end
+ − else
+ − % If we have 0 or 1 valid points, just set them
+ − % Set Y
+ − bs(jj).setY(...
+ − bs(jj).data.y(validY));
+ − % Set DY
+ − if ~isempty(bs(jj).dy) && numel(bs(jj).dy) > 1
+ − bs(jj).setDy(bs(jj).data.dy(validY));
+ − end
+ − end
+ − end
+ −
+ − otherwise
+ − error('### Unrecognised method %s', method);
+ − end
+ − case {'x', 'xy'}
+ − utils.helper.msg(msg.IMPORTANT, 'Option %s not avalable yet, sorry.', ax);
+ − otherwise
+ − utils.helper.msg(msg.IMPORTANT, 'Option %s not recognised, sorry.', ax);
+ − end
+ −
+ − % set name
+ − bs(jj).name = sprintf('%s(%s)', mfilename, ao_invars{jj});
+ − % Add history
+ − bs(jj).addHistory(getInfo('None'), pl, ao_invars, hin);
+ − 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: removeVal.m,v 1.10 2011/05/27 10:30:43 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();
+ −
+ − % Value
+ − p = param({'value', ['The value(s) to remove. Multiple values can be input in a vector.<br>' ...
+ − 'Accepted values are:<ul>' ...
+ − '<li>NaN</li>' ...
+ − '<li>Inf</li>' ...
+ − '<li>Numbers</li></ul>']}, paramValue.EMPTY_DOUBLE);
+ − pl.append(p);
+ −
+ − % Vertices
+ − p = param({'axis', 'The axis to check on.'}, ...
+ − {2, {'x', 'y'}, paramValue.SINGLE});
+ − pl.append(p);
+ −
+ − % Method
+ − p = param({'method', 'The operation to perform on the values curresponding to NaN.'}, ...
+ − {1, {'remove', 'interp'}, paramValue.SINGLE});
+ − pl.append(p);
+ −
+ − % Interpolation
+ − pli = ao.getInfo('interp').plists;
+ − p = setKey(pli.params(pli.getIndexForKey('method')), 'interpolation');
+ − pl.append(p);
+ − end