Fast two-dimensional quasi-Newton adaptive filter

Jeffrey C. Strait, William Kenneth Jenkins

    Research output: Contribution to journalConference article

    3 Scopus citations

    Abstract

    Two-dimensional adaptive filters are useful in a wide variety of image and video processing applications. Several different two-dimensional structures and algorithms have been developed, the most recent of which is a fast 2-D FIR quasi-Newton adaptive filter. Quasi-Newton search algorithms can compensate for the eigenvalue disparity of the autocorrelation matrix in colored signal environments. Learning curves show dramatic improvement in the rate of convergence of 2-D adaptive filters with colored noise.

    Original languageEnglish (US)
    Pages (from-to)149-152
    Number of pages4
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    Volume2
    StatePublished - Dec 1 1994
    EventProceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6) - London, England
    Duration: May 30 1994Jun 2 1994

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    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

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