• DocumentCode
    1013148
  • Title

    Analog rank filtering

  • Author

    Paul, Steffen ; Hüper, Knut

  • Author_Institution
    Inst. for Network Theory & Circuit Design, Tech. Univ. of Munich, Germany
  • Volume
    40
  • Issue
    7
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    469
  • Lastpage
    476
  • Abstract
    The main task in rank filtering and many other nonlinear filtering operations is sorting. In this work, a nonlinear dynamical system for this operation is proposed. The sorting problem is embedded in a higher dimensional matrix-valued problem. An equivalent analog circuit consists of basic building blocks like adders, multipliers, and integrators which set up basic nonlinear processing cells. These processing cells are locally connected in a one-dimensional array of length N for a rank filter, with N input data elements taken as the initial values of the dynamical system. The time for sorting can be estimated theoretically and indicates fast convergence. In time complexity, the algorithm is of O(N). As opposed to a digital rank filter, the analog rank filter possesses a parameter to control the speed of convergence and the accuracy
  • Keywords
    analogue processing circuits; cellular arrays; convergence; filtering and prediction theory; matrix algebra; analog rank filter; convergence; discrete-time analogue system; equivalent analog circuit; higher dimensional matrix-valued problem; nonlinear dynamical system; nonlinear filtering; sorting problem; time complexity; Analog circuits; Convergence; Differential equations; Digital filters; Information filtering; Information filters; Nonlinear dynamical systems; Nonlinear filters; Signal processing algorithms; Sorting;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.257302
  • Filename
    257302