• DocumentCode
    3413386
  • Title

    A reduced order H∞ deconvolution filter design using bounded real lemma

  • Author

    Rho, Him ; Hsu, Chin S.

  • Author_Institution
    Sch. of Electr. Engineermig´´ & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4234
  • Abstract
    A reduced-order H∞ deconvolution filter design based on the bounded real lemma for linear discrete-time systems is presented. The order of the proposed deconvolution filter is less than or equal to n-p, where n and p are orders of the system and the measurement, respectively. The filter parameters are expressed in closed-form in terms of a solution to a Riccati difference equation. Application examples of image restoration and channel equalization using the proposed filter are presented
  • Keywords
    Riccati equations; deconvolution; difference equations; discrete time systems; equalisers; filtering theory; image restoration; linear systems; reduced order systems; Riccati difference equation; bounded real lemma; channel equalization; image restoration; linear discrete-time systems; reduced order H∞ deconvolution filter; Deconvolution; Difference equations; Estimation error; Filters; Riccati equations; State estimation; Symmetric matrices; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.945642
  • Filename
    945642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3413386