• DocumentCode
    1137487
  • Title

    L2-sensitivity analysis and minimization of 2-D separable-denominator state-space digital filters

  • Author

    Hinamoto, Takao ; Sugie, Yuji

  • Author_Institution
    Graduate Sch. of Eng., Hiroshima Univ., Japan
  • Volume
    50
  • Issue
    12
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    3107
  • Lastpage
    3114
  • Abstract
    For two-dimensional (2-D) state-space digital filters that are separable in the denominator, the coefficient sensitivity is analyzed by using a pure L2-norm, and then, the problem of minimizing the L2-sensitivity is considered. First, a novel expression is developed in closed form for the evaluation of the L2-sensitivity. Next, an iterative procedure is presented for synthesizing the optimal filter structures that minimize the L2-sensitivity. Finally, a numerical example is given to illustrate the utility of the proposed technique.
  • Keywords
    fixed point arithmetic; state-space methods; two-dimensional digital filters; 2D digital filters; L2 -norm; L2 sensitivity minimization; L2-sensitivity analysis; closed form expression; coefficient sensitivity; finite-word-length implementation; fixed-point implementation; iterative procedure; optimal filter structures; separable-denominator state-space digital filters; two-dimensional digital filters; Arithmetic; Digital filters; Digital signal processing; Frequency domain analysis; Multidimensional signal processing; Nonlinear filters; Sensitivity analysis; Testing; Transfer functions; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2002.805238
  • Filename
    1076003