DocumentCode :
2619515
Title :
Variable step-size least mean square algorithms over adaptive networks
Author :
Bin Saeed, Muhammad Omer ; Zerguine, Azzedine ; Zummo, Salam A.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
2010
fDate :
10-13 May 2010
Firstpage :
381
Lastpage :
384
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.
Keywords :
adaptive filters; least mean squares methods; network theory (graphs); VSSLMS algorithms; adaptive combiners; adaptive filters; adaptive networks; diffusion LMS algorithm; fixed step-size incremental techniques; variable step-size least mean square algorithms; Adaptive systems; Algorithm design and analysis; Adaptive filters; Variable step-size least mean square; adaptive networks; diffusion algorithm; incremental algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
Type :
conf
DOI :
10.1109/ISSPA.2010.5605520
Filename :
5605520
Link To Document :
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