μ-vector LMS adaptive system for enhancing nonstationary narrow-band signal

Jiande Chen, Joos Vandewalle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of a least mean square (LMS) adaptive filter with respect to the feedback factor μ in both stationary and nonstationary environments are outlined and investigated by simulations. A μ-vector LMS algorithm that is an extension of the conventional LMS algorithm is proposed. In the proposed algorithm, different values of feedback factor are used for different taps. Computer simulation results are given and it is proved that the authors' algorithm performs better than the conventional LMS algorithm in a nonstationary environment. Using the proposed algorithm, a two-stage adaptive system is suggested, the first stage of which is an adaptive line enhancer. The application of the method to biomedical signal processing is discussed.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages771-774
Number of pages4
ISBN (Print)9517212399
StatePublished - Dec 1 1988
Externally publishedYes

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume1
ISSN (Print)0271-4310

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Chen, J., & Vandewalle, J. (1988). μ-vector LMS adaptive system for enhancing nonstationary narrow-band signal. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 771-774). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1). Publ by IEEE.