Variable step-size discrete cosine transform diffusion LMS over multi-task networks

Ali Al-Mohammedi; Mohamed Deriche

doi:10.1109/ICFSP.2018.8552066

Variable step-size discrete cosine transform diffusion LMS over multi-task networks

Ali Al-Mohammedi, Mohamed Deriche

Department of Electrical Engineering

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

Abstract

In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.

Original language	English
Title of host publication	2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-33
Number of pages	5
ISBN (Electronic)	9781538678534
DOIs	https://doi.org/10.1109/ICFSP.2018.8552066
State	Published - 28 Nov 2018

Publication series

Name	2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

diffusion LMS
mean-sqaure analysis
multi-task networks
transform domain
variable step-size

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICFSP.2018.8552066

Cite this

Al-Mohammedi, A., & Deriche, M. (2018). Variable step-size discrete cosine transform diffusion LMS over multi-task networks. In 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018 (pp. 29-33). Article 8552066 (2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICFSP.2018.8552066

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title = "Variable step-size discrete cosine transform diffusion LMS over multi-task networks",

abstract = "In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.",

keywords = "diffusion LMS, mean-sqaure analysis, multi-task networks, transform domain, variable step-size",

author = "Ali Al-Mohammedi and Mohamed Deriche",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2018",

month = nov,

day = "28",

doi = "10.1109/ICFSP.2018.8552066",

language = "English",

series = "2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Al-Mohammedi, A & Deriche, M 2018, Variable step-size discrete cosine transform diffusion LMS over multi-task networks. in 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018., 8552066, 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018, Institute of Electrical and Electronics Engineers Inc., pp. 29-33. https://doi.org/10.1109/ICFSP.2018.8552066

Variable step-size discrete cosine transform diffusion LMS over multi-task networks. / Al-Mohammedi, Ali; Deriche, Mohamed.
2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 29-33 8552066 (2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018).

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

TY - GEN

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AU - Deriche, Mohamed

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N2 - In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.

AB - In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.

KW - diffusion LMS

KW - mean-sqaure analysis

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KW - variable step-size

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M3 - Conference contribution

AN - SCOPUS:85059990097

T3 - 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018

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BT - 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018

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Al-Mohammedi A, Deriche M. Variable step-size discrete cosine transform diffusion LMS over multi-task networks. In 2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 29-33. 8552066. (2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018). doi: 10.1109/ICFSP.2018.8552066

Variable step-size discrete cosine transform diffusion LMS over multi-task networks

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this