Constrained two-dimensional adaptive digital filter with reduced computational complexity

William Kenneth Jenkins, R. P. Faust

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

    13 Scopus citations

    Abstract

    An adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1-D adaptive filter. The convergence rate of the proposed structure is much faster than that of a direct-form 2-D LMS (least-mean-square) filter. Results of the hardware realization of the filter are presented that show its learning curve to be considerably less noisy than that of the 2-D direct-form LMS filter.

    Original languageEnglish (US)
    Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
    PublisherPubl by IEEE
    Pages2655-2658
    Number of pages4
    ISBN (Print)9517212410
    StatePublished - Dec 1 1988

    Publication series

    NameProceedings - IEEE International Symposium on Circuits and Systems
    Volume3
    ISSN (Print)0271-4310

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

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  • Cite this

    Jenkins, W. K., & Faust, R. P. (1988). Constrained two-dimensional adaptive digital filter with reduced computational complexity. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 2655-2658). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 3). Publ by IEEE.