Two-dimensional recursive adaptive filtering

Jeffrey C. Strait, W. Kenneth Jenkins

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

    3 Scopus citations


    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 2-D IIR adaptive filter. IIR adaptive filters offer reduced computational complexity and increased modeling flexibility when compared to FIR filters. A simple gradient algorithm is developed, and experimental results are presented which clearly show the dependence of convergence on the 2-D indexing scheme. Results show that the 2-D IIR mean-squared-error performance surface characteristics are similar to those of the 1-D IIR adaptive filter with respect to unimodality of the error surface. A quasi-Newton acceleration algorithm is suggested to improve the rate of convergence.

    Original languageEnglish (US)
    Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
    PublisherPubl by IEEE
    Number of pages4
    ISBN (Print)0780312813
    StatePublished - 1993
    Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
    Duration: May 3 1993May 6 1993

    Publication series

    NameProceedings - IEEE International Symposium on Circuits and Systems
    ISSN (Print)0271-4310


    Other1993 IEEE International Symposium on Circuits and Systems
    CityChicago, IL, USA

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering


    Dive into the research topics of 'Two-dimensional recursive adaptive filtering'. Together they form a unique fingerprint.

    Cite this