Abstract—Through further improvements, a new variable step size LMS adaptive filter algorithm is proposed, which based on the variable step size LMS adaptive filter algorithm of Lorentzian function. This algorithm not only solves the contradiction between the convergence rate and steady-state error, but also improves the anti-interference ability and eliminates the irrelevant noise. Therefore, it provides greater flexibility for the practical application.
Index Terms—Adaptive filter, variable step-size, convergence rate, anti-interference ability, noise cancellation.
Zhang Jingjing is with the Academy of Armored Forces Engineering, Beijing, 100072, China (e-mail: firstname.lastname@example.org).
Cite: Zhang Jingjing, "Variable Step Size LMS Algorithm," International Journal of Future Computer and Communication vol. 1, no. 4 pp. 389-391, 2012.