Paper Info
Title
Variable step-size least mean square algorithms over adaptive networks.
Abstract
This paper presents two new variations for algorithms over adaptive networks using a variable step-size strategy in order to enhance the overall performance. Variable step-size least mean square (VSSLMS) algorithms for incremental as well as diffusion strategies are studied and the results are compared with existing results. A comparison is done with the recently proposed Diffusion LMS algorithm with adaptive combiners and it is shown that VSSLMS provides a simplified solution than that of the Diffusion LMS algorithm with adaptive combiners. Also, a great improvement in performance is obtained when compared with the fixed step-size Incremental and Diffusion LMS techniques.
Year
DOI
Venue
2010
10.1109/ISSPA.2010.5605520
ISSPA
Keywords
Field
DocType
least mean square,adaptive systems,algorithm design and analysis,adaptive filters,adaptive filter,lms algorithm
Least mean squares filter,Mathematical optimization,Algorithm design,Pattern recognition,Adaptive system,Computer science,Algorithm,Least mean square algorithm,Adaptive filter,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
978-1-4244-7165-2
8
0.59
References 
Authors
5
3
Name
Order
Citations
PageRank
Muhammad Omer Bin Saeed1435.98
Azzedine Zerguine234351.98
Salam A. Zummo315031.02