Alternate Realizations to Adaptive IIR Filters and Properties of Their Performance Surfaces

Majid Nayeri, William Kenneth Jenkins

    Research output: Contribution to journalArticle

    47 Scopus citations

    Abstract

    Characteristics of the mean-square error surface in adaptive digital filters determine how well a gradient algorithm performs within a given filter structure, i.e., if the surface has steep slopes and contains local minima, a gradient algorithm will have difficulty reaching the global minimum. It is shown how different filter structures of an adaptive filter leads to a change in the characteristics of the corresponding error surface, and consequently, to a change in the corresponding convergence rate and minimum mean-square error.

    Original languageEnglish (US)
    Pages (from-to)485-496
    Number of pages12
    JournalIEEE Transactions on Circuits and Systems
    Volume36
    Issue number4
    DOIs
    StatePublished - Jan 1 1989

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

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