Optimizing the performance of polynomial adaptive filters: making quadratic filters converge like linear filters

Charles W. Therrien, William Kenneth Jenkins, Xiaohui Li

    Research output: Contribution to journalArticle

    5 Scopus citations

    Abstract

    The correlation properties of the input vector determine the rate of convergence of the LMS algorithm for Volterra adaptive filters and are optimal when the nonlinear input terms are uncorrelated. This correspondence presents new results on the correlation properties for second-order Volterra filters and shows that when the input signal is whitened, the nonlinear terms automatically become uncorrelated.

    Original languageEnglish (US)
    Pages (from-to)1169-1171
    Number of pages3
    JournalIEEE Transactions on Signal Processing
    Volume47
    Issue number4
    DOIs
    StatePublished - Apr 1 1999

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering

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