clear allclose allclcR = 50; m = 0:R-1;y0=[];for n=1:R;
a = rand(1,R)-0.4;
b = round(a); % Generate impulse noise
s = 2*m.*(0.9.^m); % Generate signal
x = s + b; % Impulse noise corrupted signal
x1=[0 x 0]; p=x1(:,n:n+2); y=median(p); % Median filtering y0=[y0;y];endplot(m,y0)...
