Performance analysis of compressive diffusion normalized LMS algorithm with link noises

Sheng Zhang, Wei Xing Zheng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

![CDATA[In this paper, an investigation is launched into the compressive diffusion strategy in the presence of noisy communication links so as to develop the compressive diffusion double normalized least mean square (NLMS) algorithm. Based on the single update global weight-error model, an analytical formulation of the transient and steady-state results is made for the compressive diffusion double NLMS algorithm. These analytical results are instrumental to making a better understanding of the mean square performance of the compressive diffusion strategy against link noises. Lastly, simulation study is carried out to validate the performance of the developed compressive diffusion double NLMS algorithm over adaptive networks subject to link noises.]]
Original languageEnglish
Title of host publicationProceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021
PublisherIEEE
Number of pages5
ISBN (Print)9781728192017
DOIs
Publication statusPublished - 2021
EventIEEE International Symposium on Circuits and Systems -
Duration: 22 May 2021 → …

Publication series

Name
ISSN (Print)2158-1525

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Period22/05/21 → …

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