Mercurial > hg > ltpda
view m-toolbox/classes/@ao/lincom.m @ 52:daf4eab1a51e database-connection-manager tip
Fix. Default password should be [] not an empty string
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 07 Dec 2011 17:29:47 +0100 |
parents | f0afece42f48 |
children |
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% LINCOM make a linear combination of analysis objects %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: LINCOM makes a linear combination of the input analysis % objects % % CALL: b = lincom(a1,a2,a3,...,aN,c) % b = lincom([a1,a2,a3,...,aN],c) % b = lincom(a1,a2,a3,...,aN,[c1,c2,c3,...,cN]) % b = lincom([a1,a2,a3,...,aN],[c1,c2,c3,...,cN]) % b = lincom(a1,a2,a3,...,aN,pl) % b = lincom([a1,a2,a3,...,aN],pl) % % % If no plist is specified, the last object should be: % + an AO of type cdata with the coefficients inside OR % + a vector of AOs of type cdata with individual coefficients OR % + a pest object with the coefficients % % INPUTS: ai - a list of analysis objects of the same type % c - analysis object OR pest object with coefficient(s) % pl - input parameter list % % OUTPUTS: b - output analysis object % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'lincom')">Parameters Description</a> % % VERSION: $Id: lincom.m,v 1.38 2011/04/08 08:56:12 hewitson Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = lincom(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); if nargout == 0 error('### lincom cannot be used as a modifier. Please give an output variable.'); end %%% 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, rest] = utils.helper.collect_objects(varargin(:), 'ao', in_names); [ps, ps_invars, rest] = utils.helper.collect_objects(rest(:), 'pest', in_names); pl = utils.helper.collect_objects(rest(:), 'plist', in_names); % Combine input PLIST with default PLIST usepl = parse(pl, getDefaultPlist()); % Check inputs if numel(ps) > 1 error('### This method supports only one PEST object.') end % Get the length of the arguments aosIdx = cellfun('isclass', varargin, 'ao'); num_as = cellfun('length', varargin(aosIdx)); coeffHist = []; if ~isempty(usepl.find('COEFFS')) coeffObj = usepl.find('COEFFS'); elseif numel(ps) == 1 coeffObj = ps; coeffHist = ps.hist; elseif isa(as(end).data, 'cdata') && as(end).len == numel(as(1:end-1)) % The last AOs have the coefficients coeffObj = as(end); coeffHist = coeffObj.hist; % Remove the coefficients AOs from the data AOs as(end) = []; elseif all(num_as == 1) || num_as(end) == sum(num_as(1:end-1)) % list of single input AOs if mod(numel(as), 2) ~= 0 error('### If you insert a list of AOs must be the number of AOs even.') end coeffObj = as(numel(as)/2+1:end); coeffHist = [coeffObj.hist]; % Remove the coefficients AOs from the data AOs as(numel(as)/2+1:end) = []; else error('### Incorrect shape of input!'); end % Convert coefficient Object to an AO if isa(coeffObj, 'ao') elseif isa(coeffObj, 'pest') coeffObj = coeffObj.find(coeffObj.names{:},'internal'); elseif isnumeric(coeffObj) coeffObj = ao(coeffObj); else error('### Unsupported data type ''%s'' of the coefficient.', class(coeffObj)); end % Checks that coefficients are cdata AO(s) for kk = 1:numel(coeffObj) if ~isa(coeffObj(kk).data, 'cdata') error('### lincom can not be used on this data type.'); end end coeffs = coeffObj.y; cunits = unit.initObjectWithSize(1, numel(coeffs)); if numel(coeffObj) == 1 % Single coefficients AO, get the unit and make copies for kk = 1:numel(coeffs) cunits(kk) = unit(coeffObj.yunits); end else % Array of coefficients AOs, get each unit separately cunits = unit(coeffObj.yunits); end na = length(as); nc = length(coeffs); if na ~= nc disp(sprintf('Num AOs input: %d', na)); disp(sprintf('Num Coeffs input: %d', nc)); error('### specify one coefficient per analysis object.'); end % Make linear combination, collect name string, compute the new units nstr = ''; y = zeros(size(as(1).data.getY)); for kk = 1:nc nstr = [nstr num2str(coeffs(kk)) '*' ao_invars{kk} ' + ']; y = y + coeffs(kk).*as(kk).y; new_units(kk) = simplify(as(kk).yunits .* cunits(kk), plist('Prefixes',false)); end nstr = deblank(nstr(1:end-2)); for kk = 1:nc-1 if ~eq(new_units(kk), new_units(kk+1)) error('### inconsistent units in data/coefficients'); end end % create new ao b = ao; b.data = copy(as(1).data, 1); b.data.setY(y); %%% Set Name b.name = nstr; %%% Set new Units b.data.setYunits(new_units(1)); %%% Propagate 'plotinfo' plotinfo = [as(:).plotinfo]; if ~isempty(plotinfo) b.plotinfo = combine(plotinfo); end %%% Add History b.addHistory(getInfo('None'), usepl, [ao_invars ps_invars], [as.hist coeffHist]); % Set output varargout{1} = b; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Local Functions % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % FUNCTION: getInfo % % DESCRIPTION: Get Info Object % % HISTORY: 11-07-07 M Hewitson % Creation. % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 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: lincom.m,v 1.38 2011/04/08 08:56:12 hewitson Exp $', sets, pl); ii.setModifier(false); 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(... {'COEFFS',['A vector of AOs of type cdata with individual coefficients<br>' ... 'or a PEST containing a vector of coefficients<br>' ... 'or a vector of numeric coefficients.']}, paramValue.EMPTY_DOUBLE); end % END