Two-dimensional recursive adaptive filtering

Jeffrey C. Strait, W. Kenneth Jenkins

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

    2 Citations (Scopus)

    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 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
    Pages319-322
    Number of pages4
    ISBN (Print)0780312813
    StatePublished - Jan 1 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
    Volume1
    ISSN (Print)0271-4310

    Other

    Other1993 IEEE International Symposium on Circuits and Systems
    CityChicago, IL, USA
    Period5/3/935/6/93

    Fingerprint

    Adaptive filtering
    Adaptive filters
    IIR filters
    FIR filters
    Computational complexity
    Processing

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

    Cite this

    Strait, J. C., & Jenkins, W. K. (1993). Two-dimensional recursive adaptive filtering. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 319-322). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1). Publ by IEEE.
    Strait, Jeffrey C. ; Jenkins, W. Kenneth. / Two-dimensional recursive adaptive filtering. Proceedings - IEEE International Symposium on Circuits and Systems. Publ by IEEE, 1993. pp. 319-322 (Proceedings - IEEE International Symposium on Circuits and Systems).
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    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 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.",
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    Strait, JC & Jenkins, WK 1993, Two-dimensional recursive adaptive filtering. in Proceedings - IEEE International Symposium on Circuits and Systems. Proceedings - IEEE International Symposium on Circuits and Systems, vol. 1, Publ by IEEE, pp. 319-322, 1993 IEEE International Symposium on Circuits and Systems, Chicago, IL, USA, 5/3/93.

    Two-dimensional recursive adaptive filtering. / Strait, Jeffrey C.; Jenkins, W. Kenneth.

    Proceedings - IEEE International Symposium on Circuits and Systems. Publ by IEEE, 1993. p. 319-322 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1).

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

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    AB - 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.

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    Strait JC, Jenkins WK. Two-dimensional recursive adaptive filtering. In Proceedings - IEEE International Symposium on Circuits and Systems. Publ by IEEE. 1993. p. 319-322. (Proceedings - IEEE International Symposium on Circuits and Systems).