• DocumentCode
    1053412
  • Title

    A resetting algorithm for transient analysis of coupled transmission line circuits

  • Author

    Lu, Linchao ; Nakhla, Michel S. ; Zhang, Qi-Jun

  • Author_Institution
    Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    42
  • Issue
    3
  • fYear
    1994
  • fDate
    3/1/1994 12:00:00 AM
  • Firstpage
    494
  • Lastpage
    500
  • Abstract
    The numerical inversion of the Laplace transform has been used as an important tool for time domain analysis of high speed VLSI interconnects modeled by transmission line networks. In this paper, a resetting algorithm based on the numerical inversion of Laplace transform with Pade approximation is described. The initial conditions of coupled transmission lines required by the resetting algorithm are also derived. The new method results in substantial improvement of the accuracy of the numerical inversion of Laplace transform for solving transmission line networks with long transients. The new method also bridges the gap between two types of circuit simulation techniques, i.e., the numerical inversion of Laplace transform and the numerical integration
  • Keywords
    Laplace transforms; VLSI; circuit analysis computing; coupled circuits; distributed parameter networks; linear network analysis; matrix algebra; numerical analysis; packaging; time-domain analysis; transient response; transmission line theory; Laplace transform; Pade approximation; circuit simulation; coupled transmission line circuits; high speed VLSI interconnects; initial conditions; numerical inversion; resetting algorithm; time domain analysis; transient analysis; Approximation algorithms; Coupling circuits; Distributed parameter circuits; Integrated circuit interconnections; Laplace equations; Power system transients; Time domain analysis; Transient analysis; Transmission lines; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.277445
  • Filename
    277445