• DocumentCode
    1664318
  • Title

    Invariance of second-order modes of 2-D digital filters under 2-D frequency transformation

  • Author

    Yafei Tian ; Fanyong Zhang ; Shi Yan ; Li Xu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • fYear
    2012
  • Firstpage
    1285
  • Lastpage
    1289
  • Abstract
    The so-called second-order modes, which are the square roots of the eigenvalues of the product of the controllability Gramian and observability Gramian of the filters, scale the minimal attainable value of roundoff noise of one-dimensional (1-D) and two-dimensional (2-D) filters. This paper carries out a preliminary investigation on the invariance property of the second-order modes of 2-D digital filters under 2-D frequency transformation based on the state-space formulation of 2-D frequency transformation proposed by the co-authors. Some nontrivial numerical examples are given to show that, compared with the results given in the 1-D frequency transformation for 2-D separable digital filters case, the similar invariance property may also hold for the 2-D frequency transformation of 2-D digital filters, i.e., the horizontal second-order modes keep invariant when only horizontal 2-D transformation is applied while the vertical second-order modes keep invariant when only vertical 2-D transformation is applied.
  • Keywords
    controllability; digital filters; eigenvalues and eigenfunctions; invariance; observability; state-space methods; 1D frequency transformation; 2D digital filters; 2D frequency transformation; 2D separable digital filters case; controllability Gramian; eigenvalues; horizontal 2D transformation; horizontal second-order modes; minimal attainable value; nontrivial numerical examples; observability Gramian; one-dimensional filters; roundoff noise; similar invariance property; square roots; state-space formulation; two-dimensional filters; vertical 2D transformation; vertical second-order modes; Circuits and systems; Controllability; Eigenvalues and eigenfunctions; Noise; Observability; Prototypes; State-space methods; 2-D digital filters; 2-D frequency transformation; Roesser state-space model; second-order modes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485330
  • Filename
    6485330