Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks

Ali Almohammedi; Mohammed Deriche

doi:10.1109/AEECT.2015.7360542

Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks

Ali Almohammedi
, Mohammed Deriche

Department of Electrical Engineering

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

2 Scopus citations

Abstract

This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.

Original language	English
Title of host publication	2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479974313
DOIs	https://doi.org/10.1109/AEECT.2015.7360542
State	Published - 17 Dec 2015

Publication series

Name	2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Diffusion LMS
Incremental LMS
Transform Domain
Variable Step-Size

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology

Access to Document

10.1109/AEECT.2015.7360542

Cite this

Almohammedi, A., & Deriche, M. (2015). Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks. In 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015 Article 7360542 (2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AEECT.2015.7360542

Almohammedi, Ali ; Deriche, Mohammed. / Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks. 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015).

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title = "Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks",

abstract = "This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.",

keywords = "Diffusion LMS, Incremental LMS, Transform Domain, Variable Step-Size",

author = "Ali Almohammedi and Mohammed Deriche",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

month = dec,

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doi = "10.1109/AEECT.2015.7360542",

language = "English",

series = "2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015",

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Almohammedi, A & Deriche, M 2015, Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks. in 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015., 7360542, 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/AEECT.2015.7360542

Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks. / Almohammedi, Ali; Deriche, Mohammed.
2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7360542 (2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015).

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

TY - GEN

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AU - Almohammedi, Ali

AU - Deriche, Mohammed

PY - 2015/12/17

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N2 - This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.

AB - This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.

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KW - Incremental LMS

KW - Transform Domain

KW - Variable Step-Size

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BT - 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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Almohammedi A, Deriche M. Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks. In 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7360542. (2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015). doi: 10.1109/AEECT.2015.7360542

Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this