New data-reusing LMS algorithms for improved convergence

Bernard A. Schnaufer, W. Kenneth Jenkins

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

    26 Citations (Scopus)

    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

    Cite this

    Schnaufer, B. A., & Jenkins, W. K. (1993). New data-reusing LMS algorithms for improved convergence. In Conference Record of the Asilomar Conference of Signals, Systems & Computers (pp. 1584-1588). (Conference Record of the Asilomar Conference of Signals, Systems & Computers; Vol. 2). Publ by IEEE.
    Schnaufer, Bernard A. ; Jenkins, W. Kenneth. / New data-reusing LMS algorithms for improved convergence. Conference Record of the Asilomar Conference of Signals, Systems & Computers. Publ by IEEE, 1993. pp. 1584-1588 (Conference Record of the Asilomar Conference of Signals, Systems & Computers).
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    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.",
    author = "Schnaufer, {Bernard A.} and Jenkins, {W. Kenneth}",
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    Schnaufer, BA & Jenkins, WK 1993, New data-reusing LMS algorithms for improved convergence. in Conference Record of the Asilomar Conference of Signals, Systems & Computers. Conference Record of the Asilomar Conference of Signals, Systems & Computers, vol. 2, Publ by IEEE, pp. 1584-1588, Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, USA, 11/1/93.

    New data-reusing LMS algorithms for improved convergence. / Schnaufer, Bernard A.; Jenkins, W. Kenneth.

    Conference Record of the Asilomar Conference of Signals, Systems & Computers. Publ by IEEE, 1993. p. 1584-1588 (Conference Record of the Asilomar Conference of Signals, Systems & Computers; Vol. 2).

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

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    Schnaufer BA, Jenkins WK. New data-reusing LMS algorithms for improved convergence. In Conference Record of the Asilomar Conference of Signals, Systems & Computers. Publ by IEEE. 1993. p. 1584-1588. (Conference Record of the Asilomar Conference of Signals, Systems & Computers).