New data-reusing LMS algorithms for improved convergence

Bernard A. Schnaufer, W. Kenneth Jenkins

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

    26 Scopus citations

    Abstract

    In this paper a geometric framework is adopted which is used to clearly elucidate the operation of and relationships between the LMS, DR-LMS, and NLMS algorithms. This geometrical framework facilitates the proof of an analytical result which explains the superior convergence rate performance of the NLMS algorithm. A new class of computationally efficient data-reusing algorithms is then introduced which provides significant convergence rate improvement over the DR-LMS algorithm. The improved performance is verified with simulations.

    Original languageEnglish (US)
    Title of host publicationConference Record of the Asilomar Conference of Signals, Systems & Computers
    PublisherPubl by IEEE
    Pages1584-1588
    Number of pages5
    ISBN (Print)0818641207
    StatePublished - Dec 1 1993
    EventProceedings of the 27th Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA
    Duration: Nov 1 1993Nov 3 1993

    Publication series

    NameConference Record of the Asilomar Conference of Signals, Systems & Computers
    Volume2
    ISSN (Print)1058-6393

    Other

    OtherProceedings of the 27th Asilomar Conference on Signals, Systems & Computers
    CityPacific Grove, CA, USA
    Period11/1/9311/3/93

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Computer Networks and Communications

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