Volume 6 Number 3 (Jun. 2014)
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IJCEE 2014 Vol.6 (3): 222-225 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2014.V6.826

A Modified Leaky-LMS Algorithm

Tajuddeen R. Gwadabe, Mohammad Shukri Salman, and Hasan Abuhilal
Abstract—The leaky least-mean-square (LLMS) algorithm was first proposed to mitigate the drifting problem of the least-mean-square (LMS) algorithm. Though the LLMS algorithm solves this problem, its performance is similar to that of the LMS algorithm. In this paper, we propose an improved version of the LLMS algorithm that brings better performance to the LLMS algorithm and similarly solves the problem of drifting in the LMS algorithm. This better performance is achieved at a negligible increase in the computational complexity. The performance of the proposed algorithm is compared to that of the conventional LLMS algorithm in a system identification and a noise cancellation settings in additive white and correlated, Gaussian and impulsive, noise environments.

Index Terms—Leaky least–mean-square, system identification, noise cancellation.

T. R. Gwadabe and M. S. Salman are with the Electrical and Electronic Engineering Department, Mevlana University, Konya, Turkey (e-mail: tgwadabe@yahoo.com, mssalman@mevlana.edu.tr).
H. Abuhilal is with the Higher Colleges of Technology for Men Abu Dhabi, UAE (e-mail: habuhilal@hct.ac.ae).

 

Cite:Tajuddeen R. Gwadabe, Mohammad Shukri Salman, and Hasan Abuhilal, "A Modified Leaky-LMS Algorithm," International Journal of Computer and Electrical Engineering vol. 6, no.3, pp. 222-225, 2014.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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