@article {Dhakad:2018:0736-2935:4356,
title = "Reference Weighted Filtered-x LMS Algorithm for Active Control of Impulsive Noise",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2018",
volume = "258",
number = "3",
publication date ="2018-12-18T00:00:00",
pages = "4356-4363",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2018/00000258/00000003/art00039",
author = "Dhakad, Rushikesh and Long, Guo and Feng, Tao and Lim, Teik",
abstract = "This paper proposes a reference-weighted filtered-x least mean squares (RWFxLMS) algorithm for active control of impulsive noise. The paper briefly discusses the existing algorithms that inspired the development of the proposed algorithm. Thereafter, the concept of the proposed algorithm
is described. The RWFxLMS algorithm uses a quadratic function of the reference signal obtained by curve-fitting the probability distribution of an impulsive signal to weight the step-size at that instant. Analysis related to the convergence property of the proposed algorithm is made, and its
computational complexity is calculated. Its performance against a variety of impulsive noise signals - random impulsive with varying degree of impulsiveness and repetitive impulses - is studied. Lastly, the algorithm is compared with Y. Zhou's FxGSNLMS algorithm in terms of computational complexity
and convergence properties.",
}