www.pudn.com > adaptivefiltering.rar > plot12_1.m

figure
for i=1:4,
 eval(['load run1', num2str(i)])
E_priori=E./Gamma(:,6:501);
semilogy(mean(E_priori.^2))
hold on
end
axis([0 200 1e-3 1e1])
xlabel('Number of iterations, n')
     ylabel('Mean- squared error')
     gtext('W = 2.9')
 gtext('W = 3.1')
 gtext('W = 3.3')
 gtext('W = 3.5')

print -deps 12_1