• DocumentCode
    391766
  • Title

    Transforms for continuous time system modeling

  • Author

    Thong, Tran ; McNames, James

  • Author_Institution
    OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    4-7 Aug. 2002
  • Abstract
    In the modeling of continuous time systems, there is a need to convert the analog system to a discrete time system. The transform frequently encountered in the literature is the impulse invariant transform. This transform has proven to be inadequate for biological system modeling. In this paper, we review the available linear transforms and derive three new transforms, namely the centered step invariant transform, the local cubic spline invariant transform, and the scaled impulse invariant transform.
  • Keywords
    continuous time systems; discrete time systems; filtering theory; interpolation; signal processing; splines (mathematics); transforms; analog system; biological system modeling; centered step invariant transform; continuous time system modeling; continuous time systems; discrete time system; filter design; impulse invariant transform; interpolation; linear transforms; local cubic spline invariant transform; scaled impulse invariant transform; Attenuation; Biological system modeling; Biological systems; Continuous time systems; Discrete time systems; Discrete transforms; Filters; Frequency; Polynomials; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
  • Print_ISBN
    0-7803-7523-8
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2002.1186884
  • Filename
    1186884