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view m-toolbox/classes/@ao/removeVal.m @ 21:8be9deffe989 database-connection-manager
Update ltpda_uo.update
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
children |
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% 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