Noise-cancellation performance of the most commonly used adaptive algorithms using computer simulations

W.B. Mikhael and S.M. Ghosh (see 24th Asilomar Conf. on Signals, Syst., and Comput., 1990) showed that the families of commonly used adaptive algorithms are closely related to each other. In this work, the performance of the algorithms discussed by Mikhael and Ghosh, using the system identification model for noise cancellation, is addressed. Implementational aspects of these algorithms and their computational complexity are examined. Using computer simulations, the successive tradeoff between the computational complexity and system noise cancellation ability, as one proceeds from the Wiener estimate to the LMS with fixed step-size, becomes apparent