• DocumentCode
    2616876
  • Title

    Selection filters and commutativity with memoryless nonlinearities

  • Author

    Fam, Adly T. ; Lee, Yong H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York at Buffalo, Amherst, NY, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    1743
  • Abstract
    A class of nonrecursive filters that commute with every increasing zero-memory nonlinear (ZNL) transformation is characterized. Specifically, it is shown that a nonrecursive filter commutes with every increasing ZNL transformation if and only if it is a rank-based selection (RBS) filter that replaces each input value with one of its neighboring input datum (which is selected depending on relative amplitudes of the data). It is also shown that RBS filters commuting with every nondecreasing ZNL transformation are stack filters that can be represented as finite maximum-minimum operations
  • Keywords
    digital filters; nonlinear network analysis; 1D filter; RBS filters; ZNL transformation; commutativity; finite maximum-minimum operations; memoryless nonlinearities; nonrecursive filters; rank-based selection filters; stack filters; zero-memory nonlinear transformation; Adaptive filters; Filtering; Nonlinear filters; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.111969
  • Filename
    111969