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

  • King Fahd University of Petroleum and Minerals

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-33
Number of pages5
ISBN (Electronic)9781538678534
DOIs
StatePublished - 28 Nov 2018
Externally publishedYes
Event4th International Conference on Frontiers of Signal Processing, ICFSP 2018 - Poitiers, France
Duration: 24 Sep 201827 Sep 2018

Publication series

Name2018 4th International Conference on Frontiers of Signal Processing, ICFSP 2018

Conference

Conference4th International Conference on Frontiers of Signal Processing, ICFSP 2018
Country/TerritoryFrance
CityPoitiers
Period24/09/1827/09/18

Keywords

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

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