📄 fun.m
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% The objective function of the optimization
% The greater the Alfa, the better the stopband
% Successful but the result is not very good
function [f,g] = fun(x)
f1 = 0;
f2 = 0;
f = 0;
Alfa=0.7;
N = size(x,2);
stopedge = 0.4*pi;
omega = stopedge;
step = (pi-stopedge)/1024;
for I = 1:1024
omega = omega + step;
for J = 1:N
c(J) = cos(((J-1)+0.5)*omega);
end
part = x*c'*c*x';
f1 = f1 + part;
end
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