Variable step-size least mean square algorithms over adaptive networks

Muhammad Omer Bin Saeed; Azzedine Zerguine; Salam A. Zummo

doi:10.1109/ISSPA.2010.5605520

Variable step-size least mean square algorithms over adaptive networks

Muhammad Omer Bin Saeed, Azzedine Zerguine, Salam A. Zummo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Scopus citations

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 stepsize Incremental and Diffusion LMS techniques.

Original language	English
Title of host publication	10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Pages	381-384
Number of pages	4
DOIs	https://doi.org/10.1109/ISSPA.2010.5605520
State	Published - 2010

Publication series

Name	10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

Keywords

Adaptive filters
Adaptive networks
Diffusion algorithm
Incremental algorithm
Variable step-size least mean square

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Signal Processing

Access to Document

10.1109/ISSPA.2010.5605520

Cite this

Saeed, M. O. B., Zerguine, A., & Zummo, S. A. (2010). Variable step-size least mean square algorithms over adaptive networks. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 (pp. 381-384). Article 5605520 (10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010). https://doi.org/10.1109/ISSPA.2010.5605520

Saeed, Muhammad Omer Bin ; Zerguine, Azzedine ; Zummo, Salam A. / Variable step-size least mean square algorithms over adaptive networks. 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. pp. 381-384 (10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010).

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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 stepsize Incremental and Diffusion LMS techniques.",

keywords = "Adaptive filters, Adaptive networks, Diffusion algorithm, Incremental algorithm, Variable step-size least mean square",

author = "Saeed, {Muhammad Omer Bin} and Azzedine Zerguine and Zummo, {Salam A.}",

year = "2010",

doi = "10.1109/ISSPA.2010.5605520",

language = "English",

isbn = "9781424471676",

series = "10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010",

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}

Saeed, MOB, Zerguine, A & Zummo, SA 2010, Variable step-size least mean square algorithms over adaptive networks. in 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010., 5605520, 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010, pp. 381-384. https://doi.org/10.1109/ISSPA.2010.5605520

Variable step-size least mean square algorithms over adaptive networks. / Saeed, Muhammad Omer Bin; Zerguine, Azzedine ; Zummo, Salam A.
10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 381-384 5605520 (10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Saeed, Muhammad Omer Bin

AU - Zerguine, Azzedine

AU - Zummo, Salam A.

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N2 - 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 stepsize Incremental and Diffusion LMS techniques.

AB - 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 stepsize Incremental and Diffusion LMS techniques.

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KW - Adaptive networks

KW - Diffusion algorithm

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T3 - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

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Saeed MOB, Zerguine A , Zummo SA. Variable step-size least mean square algorithms over adaptive networks. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 381-384. 5605520. (10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010). doi: 10.1109/ISSPA.2010.5605520

Variable step-size least mean square algorithms over adaptive networks

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Keywords

ASJC Scopus subject areas

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