HammersteinFilterOrderWithNonLin

HammersteinFilterOrderWithNonLin - % ai s b = [1 .6 .5 .2]...

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clear all u=normrnd(0,2,1,400); % A white gaussian input sequence u with length %400 0 mean and standard deviation 2 ut=normrnd(0,2,1,200); %input for testing. e=normrnd(0,.2,1,400); % A white gaussian with zero mean and standart de %viation .2 with length 400. it is error term a = [2.789 -4.591 5.229 -4.392 2.553 -.8679] ;
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Unformatted text preview: % ai s b = [1 .6 .5 .2] ; N=200; r=7; m=3; % bi s % now we will get the input output data. The last 200 datapoints will be % used for training [h,tt] = impz(b,[1 -a]); %filter impulse response v = sinc(u).*u.^2; y2 = conv(h,v()); figure(2) ; plot(y2(1:400),'b'); title('y2 for little code') f...
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This note was uploaded on 07/04/2011 for the course ECE 501 taught by Professor Deniz during the Spring '11 term at Istanbul Universitesi.

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