• DocumentCode
    1096947
  • Title

    On the minimal partial realization of 2D discrete linear shift-invariant systems

  • Author

    Sakata, Shiro

  • Author_Institution
    Dept. of Knowledge-Based Inf. Eng., Toyohashi Univ. of Technol.
  • Volume
    36
  • Issue
    8
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    984
  • Lastpage
    988
  • Abstract
    The partial realization problem for 2D discrete linear shift-invariant systems is discussed. The authors attempt to establish a reasonable definition of minimality and propose a method for finding the degree and the system function of a minimal realization of a 2D linear system characterized by a given 2D impulse response array. The method used is based on the 2D Berlekamp-Massey algorithm which has a close connection with the 2D Hankel matrix derived from the 2D array. While it compares in efficiency with other methods for identification and approximation of 2D linear systems, it gives a novel approach to the problem in the sense that one does not need any knowledge or assumptions concerning the system degree
  • Keywords
    discrete systems; identification; linear systems; matrix algebra; minimisation; 2D Hankel matrix; 2D discrete linear shift-invariant systems; 2D impulse response array; minimal partial realization; minimality; Knowledge engineering; Lattices; Linear approximation; Linear systems; Polynomials; Power engineering and energy;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.133194
  • Filename
    133194