Computationally efficient algorithms for third order adaptive Volterra filters

Xiaohui Li, W. Kenneth Jenkins, Charles W. Therrien

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

    6 Scopus citations

    Abstract

    The input autocorrelation matrix for a third order (cubic) Volterra adaptive filter for general colored Gaussian input processes is analyzed to determine how to best formulate a computationally efficient fast adaptive algorithm. When the input signal samples are ordered properly within the input data vector, the autocorrelation matrix of the cubic filter inherits a block diagonal structure, with some of the sub-blocks also having diagonal structure. A computationally efficient adaptive algorithm is presented that takes advantage of the sparsity and unique structure of the correlation matrix that results from this formulation.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
    Pages1405-1408
    Number of pages4
    DOIs
    StatePublished - 1998
    Event1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, United States
    Duration: May 12 1998May 15 1998

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume3
    ISSN (Print)1520-6149

    Other

    Other1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
    Country/TerritoryUnited States
    CitySeattle, WA
    Period5/12/985/15/98

    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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