📄 minimax_jakes.m
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N=100;f_max=91;sigma_0_2=1;Ni=25;PLOT=1;% Ni=[5 10 15 20 25 30 35 40 50];Euu1=zeros(1,length(Ni));Euu2=zeros(1,length(Ni));for ii=1:length(Ni) N_i=Ni(ii); tau=linspace(0,0.2,N); Jo=sigma_0_2*besselj(0,2*pi*f_max*tau); c_i_n=sqrt(sigma_0_2)*sqrt(2/N_i)*ones(N_i,1); f_i_n=zeros(N_i,1); f_i_n1=zeros(N_i,1); save data Jo tau N_i c_i_n PLOT tic% Initial values: for i=1:N_i f_i_n(i)=f_max*sin((pi/(2*N_i))*(i-1/2)); end% [f_i_n0,dummy1,dummy2]=parameter_Jakes('es_j',N_i,...% sqrt(sigma_0_2),f_max,'rand',0); xo=f_i_n; options = optimset('MaxIter',5); [x,fval]=fminimax('fun_Jakes1',xo,[],[],[],[],[],[],[],options); load x f_i_n=x; % o=foptions;% o(1)=1;% o(1)=0;% o(2)=1e-9;% o(14)=N_i/10*200;% o(9)=0;% % xo1=f_i_n0;% yo1=c_i_n;% w1o=0.25*ones(1,length(tau));% w2o=0.75*ones(1,length(tau));% % xx=fmincon('fun_Jakes',xo1,yo1,w1o,w2o,o,'grad_Jakes');% % load xx% % f_i_n1=xx;% % r1=acf_mue(f_i_n,c_i_n,tau);% r2=acf_mue(f_i_n1,c_i_n,tau);% Euu1(ii)=mse(abs(Jo-r1).^2);% Euu2(ii)=mse(abs(Jo-r2).^2); tocend% plot(Ni,Euu1,'*',Ni,Euu2,'o');% % xlabel('Ni');% ylabel('Erui');% % legend('minimax','MEA','MEDS');% legend('minimax','Lp-norm');
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