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

Majid Nayeri, W. Kenneth Jenkins

    Research output: Contribution to journalArticlepeer-review

    48 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 - Apr 1989

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Fingerprint

    Dive into the research topics of 'Alternate Realizations to Adaptive IIR Filters and Properties of Their Performance Surfaces'. Together they form a unique fingerprint.

    Cite this