📄 ip_06_12.m
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% MATLAB script for Illustrative Problem 12, Chapter 6.echo onN=500; % length of the information sequenceK=5;actual_isi=[0.05 -0.063 0.088 -0.126 -0.25 0.9047 0.25 0 0.126 0.038 0.088];sigma=0.01;delta=0.115;Num_of_realizations=1000;mse_av=zeros(1,N-2*K);for j=1:Num_of_realizations, % compute the average over a number of realizations % the information sequence for i=1:N, if (rand<0.5), info(i)=-1; else info(i)=1; end; echo off ; end; if (j==1) ; echo on ; end % the channel output y=filter(actual_isi,1,info); for i=1:2:N, [noise(i) noise(i+1)]=gngauss(sigma); end; y=y+noise; % now the equalization part follows estimated_c=[0 0 0 0 0 1 0 0 0 0 0]; % initial estimate of ISI for k=1:N-2*K, y_k=y(k:k+2*K); z_k=estimated_c*y_k.'; e_k=info(k)-z_k; estimated_c=estimated_c+delta*e_k*y_k; mse(k)=e_k^2; echo off ; end; if (j==1) ; echo on ; end mse_av=mse_av+mse; echo off ;end;echo on ;mse_av=mse_av/Num_of_realizations; % mean squared error versus iterations % plotting commands follow
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