Convergence properties of a constrained 2-D adaptive digital filter

William Kenneth Jenkins, Jeffrey C. Strait, Richard P. Faust

    Research output: Contribution to journalConference article

    2 Scopus citations

    Abstract

    A novel adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite impulse response) prototype, and hence the computational complexity of the coefficient up date algorithm has an order of complexity O{M}, rather than O{M2}. The price paid for the improved performance is that the adaptive filter is 'preconstrained' according to the contours which are established by fixing the mapping parameters A, B, C, D, and E. This implies that some a priori information about the symmetry of an unknown system characteristic must be known before this structure can be used effectively. This adaptive 2-D filter is particularly attractive for applications in real-time image processing for robotics and computer vision where constrained adaptive filters may be quite useful, and where reduced computational complexity is essential for real-time operation.

    Original languageEnglish (US)
    Pages (from-to)250-254
    Number of pages5
    JournalConference Record - Asilomar Conference on Circuits, Systems & Computers
    Volume1
    StatePublished - Dec 1 1988
    Eventv 1 (of 2) - Pacific Grove, CA, USA
    Duration: Oct 31 1988Nov 2 1988

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Fingerprint Dive into the research topics of 'Convergence properties of a constrained 2-D adaptive digital filter'. Together they form a unique fingerprint.

  • Cite this