Low computational complexity adaptive algorithms for IIR digital filters

Andrew W. Hull, W. Kenneth Jenkins

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

    1 Scopus citations

    Abstract

    The authors introduce a family of rapidly converging IIR (infinite impulse response) adaptive algorithms with O(N) computational complexity, where N is the filter order. By observing the similarity between the numerical solution of partial differential equations and the IIR adaptive filtering problem, results from the solution of systems of sparse linear equations may be employed. In this formulation the identification problem of the IIR coefficients separates into two subproblems, each of which may be solved by application of fast adaptive FIR (finite impulse response) techniques. Present IIR algorithms require greater computational cost or converge more slowly.

    Original languageEnglish (US)
    Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
    PublisherPubl by IEEE
    Pages2089-2092
    Number of pages4
    ISBN (Print)078030033
    StatePublished - Dec 1 1991
    EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
    Duration: May 14 1991May 17 1991

    Publication series

    NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
    Volume3
    ISSN (Print)0736-7791

    Other

    OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
    CityToronto, Ont, Can
    Period5/14/915/17/91

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    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Hull, A. W., & Jenkins, W. K. (1991). Low computational complexity adaptive algorithms for IIR digital filters. In Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2089-2092). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 3). Publ by IEEE.