title: Fractional lower order moment based adaptive algorithms for active noise control of impulsive noise sources.
abstract: This letter deals with active noise control (ANC) for impulsive noise sources being modeled using non-Gaussian stable process. The filtered-x least mean square algorithm is based on minimization of the variance of the error signal and becomes unstable for impulsive noise. The filtered-x least mean p-power algorithm-based on minimizing the fractional lower order moment-gives a robust performance for impulsive ANC; however, its convergence speed is very slow. This letter proposes modifying and employing a generalized normalized LMP algorithm for impulsive ANC. Extensive simulations are carried out which demonstrate the effectiveness of the proposed algorithm.
authors.affiliation: The University of Electro-Communications, Chofugaoka 1-5-1, Chofu-shi, Tokyo 182-8585, Japan. akhtar@uec.ac.jp
authors.forename: Muhammad Tahir
authors.initials: MT
authors.lastname: Akhtar
mesh_terms: D000162:Acoustics; D000465:Algorithms; D003198:Computer Simulation; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D009622:Noise / Q000517:prevention & control*; D012815:Signal Processing, Computer-Assisted