%-------------------------------------------------------------------------- % Sigmo_fit is function developped by J.C. COMTE comtejc@gmail.com % CNC UMR CNRS 5229. % Last Release July. 2007 % This work is protected by the CeCILL-C Licence (see below). % % % x and y are two unidimensional vector. % % % a is the coefficient of the sigmoide y=tanh(a*(x-xo)); % X and Y returns the data fitting. % % % % This software is governed by the [CeCILL|CeCILL-B|CeCILL-C] license under %French law and % abiding by the rules of distribution of free software. You can use, % modify and/ or redistribute the software under the terms of the %[CeCILL|CeCILL-B|CeCILL-C] % license as circulated by CEA, CNRS and INRIA at the following URL % "http://www.cecill.info". % % As a counterpart to the access to the source code and rights to copy, % modify and redistribute granted by the license, users are provided only % with a limited warranty and the software's author, the holder of the % economic rights, and the successive licensors have only limited % liability. % % In this respect, the user's attention is drawn to the risks associated % with loading, using, modifying and/or developing or reproducing the % software by the user in light of its specific status of free software, % that may mean that it is complicated to manipulate, and that also % therefore means that it is reserved for developers and experienced % professionals having in-depth computer knowledge. Users are therefore % encouraged to load and test the software's suitability as regards their % requirements in conditions enabling the security of their systems and/or % data to be ensured and, more generally, to use and operate it in the % same conditions as regards security. % % The fact that you are presently reading this means that you have had % knowledge of the [CeCILL|CeCILL-B|CeCILL-C] license and that you accept % its terms. % %-------------------------------------------------------------------------- function [a xo x Y]=sigmo_fit(x,y) t=x; Moy=(min(y)+max(y))/2; y=y-Moy; l=size(y,2); M=abs((mean(y(1,1:int32(0.1*l)))-mean(y(1,int32(0.9*l):l)))/2); N=max([abs(max(y)) abs(min(y))]); y=y/N; z=diff(y); z=convol(z,hamming(5)'); maxi=max(z); mini=min(z); if (abs(mini)>abs(maxi)) maxi=mini; end; n=find(z==maxi); e=int32(n/10); y=y(n-e:n+e); y=atanh(y); x=x(n-e:n+e); ind = find(isinf(y)); x(ind) = []; y(ind) = []; [a b]=Lin_Reg(x,y) xo=b/a; Y=Moy+M*tanh(a*(t+xo)); x=t; plot(t,Y,'r');