Avetis Ioannisyan avetis@60ateight.com Last Updated: 11/30/05 LMS Channel Adaptation reset randomizers randn( state ,sum(100*clock)) rand( state ,sum(100*clock)) numPoints = 5000 numTaps = 10 channel order Mu = 0.001:0.001:0.01 iteration step size input is guassian x = randn(numPoints,1) + j*randn(numPoints,1) choose channel to be random uniform h = rand(numTaps, 1) + i*rand(numTaps, 1) h = [1 0 0 0 1] testing only h = h/max(h) normalize channel convolve channel with the input d = filter(h, 1, x) initialize variables w = [] y = [] in = [] e = [] error, f

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