Hi all,
I have a funciton that takes into account various parameters:
function [concatz] = my_fit_functioncpe(freq,parameters)
Rsolc = parameters(1);
Cm = parameters(2);
Rq = parameters(3);
Rn = parameters(4);
Ln = parameters(5);
RKch = parameters(6);
Rm = parameters(7);
Lm = parameters(8);
Rl = parameters(9);
Rctc = parameters(10);
T = parameters(11);
qc = parameters(12);
w = 2 * pi * freq;
Z = Rctc + 1./((1./Rsolc+T*(1j*w).^qc)) + 1./((1j*w*Cm)+ 1/Rl + 1/Rq + 1/RKch + 1./(Rn + (1j*w*Ln)) + 1./(Rm + (1j*w*Lm)));%4c
%CPEIMPEDANCE = 1./(T*(1j*w).^qc);
%Z = 1./(1./(Rctc)+(1./(Rsolc+CPEIMPEDANCE))) + 1./((1j*w*Cm) +1./Rl+ 1./Rq + 1./RKch + 1./(Rn + (1j*w*Ln)) + 1./(Rm + (1j*w*Lm)));
reZ = real(Z);
imZ = imag(Z);
concatz = cat(2,reZ,imZ);
end
But I want it to take this initial values like a normal function and fit it to my data. I am not sure how to do that and I have searched everywhere. In python, curve_fit seems to do the trick but I need it for matlab.
