Description: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal)
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trainE\matlab_f1.mat
......\train.m
......\train276.m
......\trainAN.m
......\trainlnx.m
......\trainSIN.m
......\trainsinxy.m
......\trainsqrtxylnxy.m
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