Mercurial > hg > ltpda
diff m-toolbox/classes/@pest/tdChi2.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/@pest/tdChi2.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,298 @@ +% tdChi2 computes the chi-square for a parameter estimate. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% +% DESCRIPTION: tdChi2 computes the chi-square in time domain for an input +% pest. The system measured outputs, inputs and models must be +% contained in the plist. Also whitening filters for each +% output may be taken into account. +% +% CALL: obj = tdChi2(objs,pl); +% +% INPUTS: obj - must be a single pest +% +% <a href="matlab:utils.helper.displayMethodInfo('pest', 'tdChi2')">Parameters Description</a> +% +% VERSION: $Id: tdChi2.m,v 1.5 2011/04/08 08:56:25 hewitson Exp $ +% +% HISTORY: 08-02-2011 G. Congedo +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function varargout = tdChi2(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 + [pests, pest_invars] = utils.helper.collect_objects(varargin(:), 'pest', in_names); + pl = utils.helper.collect_objects(varargin(:), 'plist', in_names); + + + % combine plists + pl = parse(pl, getDefaultPlist()); + + % Extract necessary parameters + inputs = pl.find('inputs'); + outputs = pl.find('outputs'); + models = pl.find('models'); + WF = pl.find('WhiteningFilters'); + Ncut = pl.find('Ncut'); + Npad = pl.find('Npad'); + + if nargout == 0 + error('### tdChi2 cannot be used as a modifier. Please give an output variable.'); + end + + if ~all(isa(pests, 'pest')) + error('### tdChi2 must be only applied to pest objects.'); + end + + % Determine the class + outClass = class(outputs); + + % Check ouputs + if isempty(outputs) + error('### Please give the outputs'); + end + switch outClass + case 'ao' + N = numel(outputs); + if N>1 + error('### Please give the outputs in a MATRIX'); + end + case 'matrix' + N = numel(outputs); + if N>1 + error('### Please give the outputs in a COLLECTION of MATRIXs'); + end + if outputs.ncols>1 + outputs = outputs.'; + end + case 'collection' + N = numel(outputs.objs); + for ii=1:N + if outputs.objs{ii}.ncols>1 + outputs.objs{ii} = outputs.objs{ii}.'; + end + end + otherwise + error('### Unknown class for outputs'); + end + + % Check inputs + if isempty(inputs) + error('### Please give the inputs'); + end + if ~strcmp(class(inputs),outClass) + error('### Please give inputs as the same class of outputs'); + end + switch outClass + case 'ao' + if numel(inputs)>1 + error('### Please give the inputs in a MATRIX'); + end + case 'matrix' + if numel(inputs)>1 + error('### Please give the inputs in a COLLECTION of MATRIXs'); + end + if inputs.ncols>1 + inputs = inputs.'; + end + case 'collection' + for ii=1:numel(inputs.objs) + if inputs.objs{ii}.ncols>1 + inputs.objs{ii} = inputs.objs{ii}.'; + end + end + end + + % Check models + if isempty(models) + error('### Please give the transfer function models'); + end + switch outClass + case 'ao' + if ~strcmp(class(models),'smodel') + error('### Please, give the transfer function in a SMODEL.'); + end + if numel(models)>1 + error('### The size of the transfer function SMODEL does not match with the number of inputs/outputs.'); + end + case {'matrix','collection'} + if ~strcmp(class(models),'matrix') + error('### Please, give the transfer function in a MATRIX of SMODELs.'); + end + for ii=1:N + if strcmp(outClass,'matrix') + checkSz = models.nrows~=outputs.nrows || models.ncols~=inputs.nrows; + elseif strcmp(outClass,'collection') + checkSz = models.nrows~=outputs.objs{ii}.nrows || models.ncols~=inputs.objs{ii}.nrows; + end + if checkSz + error('### The size of the transfer function MATRIX does not match with the number of inputs/outputs.'); + end + end + end + + % Check whitening filters + whiten = ~isempty(WF); + if whiten + switch outClass + case 'ao' + if numel(WF)>1 || ~any(strcmp(class(WF),{'miir','fiir','filterbank'})) + error('### Please give the whitening filters in a FIIR, MIIR or FILTERBANK'); + end + case {'matrix','collection'} + if ~strcmp(class(WF),'matrix') + error('### Please give the whitening filters in a MATRIX of FIIRs, MIIRs or FILTERBANKs'); + end + for ii=1:N + if strcmp(outClass,'matrix') + checkSz = WF.nrows~=outputs.nrows && WF.ncols~=outputs.nrows; + elseif strcmp(outClass,'collection') + checkSz = WF.nrows~=outputs.objs{ii}.nrows && WF.ncols~=outputs.objs{ii}.nrows; + end + if checkSz + error('### The size of the whitening filters MATRIX does not match with the number of outputs.'); + end + end + end + end + + + % Actual computation + + chi2 = zeros(N,1); + Ndata = zeros(N,1); + + % Subs unwanted params + if strcmp(outClass,'matrix') || strcmp(outClass,'collection') + for kk=1:numel(models.objs) + models.objs(kk).setParams(pests.names,pests.y); + models.objs(kk).subs(setdiff(models.objs(kk).params,pests.names)); + end + else + models.setParams(pests.names,pests.y); + models.subs(setdiff(models.params,pests.names)); + end + + for ii=1:N + + % Time-domain template + if strcmp(outClass,'matrix') || strcmp(outClass,'collection') + template = fftfilt(inputs.objs{ii},models,plist('Npad',Npad)); + else + template = fftfilt(inputs,models,plist('Npad',Npad)); + end + + % Residues + if strcmp(outClass,'matrix') || strcmp(outClass,'collection') + res = template-outputs.objs{ii}; + else + res = template-outputs; + end + + % Whiten + if whiten + res = filter(res,WF); + end + + % Split-out transients + if ~isempty(Ncut) || Ncut~=0 + res = split(res,plist('samples',[Ncut+1,Inf])); + end + + % Compute chi2 & dof + if strcmp(outClass,'matrix') || strcmp(outClass,'collection') + chi2(ii) = sum(sum((res.objs.y).^2)); + Ndata(ii) = max(size(res.objs.y))*min(size(res.objs.y)); + else + chi2(ii) = sum((res.y).^2); + Ndata(ii) = numel(res.y); + end + + end + + % Compute total chi2 & dof + chi2 = sum(chi2); + dof = sum(Ndata)-numel(pests.y); + + % Output pest + out = copy(pests,1); + out = out.setChi2(chi2/dof); + out = out.setDof(dof); + out = out.setName(['tdChi2(' pests.name ')']); + + out.addHistory(getInfo('None'), pl, pest_invars(:), [pests(:).hist]); + + % Set outputs + if nargout > 0 + varargout{1} = out; + 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, 'pest', 'ltpda', utils.const.categories.helper, '$Id: tdChi2.m,v 1.5 2011/04/08 08:56:25 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 plo = buildplist() + plo = plist(); + + % Outputs + p = param({'Outputs', 'The system outputs. Must be an AO, a MATRIX or a COLLECTION of MATRIXs, one per each experiment.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + + % Inputs + p = param({'Inputs', 'The system inputs. Must be an AO, a MATRIX or a COLLECTION of MATRIXs, one per each experiment.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + + % Models + p = param({'Models', 'The system transfer function SMODELs. Must be a SMODEL or a MATRIX of SMODELs.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + + % Whitening filters + p = param({'WhiteningFilters', 'The output whitening filters. Must be a MIIR, FIIR, FILTERBANK or a MATRIX.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + + % Ncut + p = param({'Ncut', 'The number of points to cut out initial whitening filter transients.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + + % Npad + p = param({'Npad', 'The number of points to zero-pad the input for ifft. If left empty, a data length is assumed.'}, paramValue.EMPTY_DOUBLE); + plo.append(p); + +end