Filter architectures and adaptive algorithms for 2-D adaptive digital signal processing

Jeffrey C. Strait, William Kenneth Jenkins

    Research output: Contribution to journalConference article

    7 Scopus citations

    Abstract

    A 2-D adaptive filter structure based on the McClellan transformation design technique for 2-D FIR (finite impulse response) filters is proposed as a means of achieving improved performance. Performance is compared with that of a direct-form 2-D LMS (least mean squares) structure in terms of learning characteristics and computational efficiency. It is shown that if the transformation structure is constrained by a priori knowledge of contour shapes in the frequency domain, the 2-D adaptive algorithm greatly reduces computational requirements and improves the learning characteristics, as compared with the the direct form. The transformation filter is then generalized by including the contour parameters in the adaptive parameter set to eliminate the constraints on the frequency domain contours. It is shown how an orthogonal transformation can be included to improve the convergence rate of the constrained transformation structure.

    Original languageEnglish (US)
    Pages (from-to)932-935
    Number of pages4
    JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume2
    StatePublished - Dec 1 1989
    Event1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland
    Duration: May 23 1989May 26 1989

    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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