• DocumentCode
    2251611
  • Title

    Jacobi´s Iterative Method for Solving Linear Equations and the Simulation of Linear CNN

  • Author

    Tavsanoglu, Vedat

  • Author_Institution
    Yildiz Tech. Univ., Istanbul
  • fYear
    2006
  • fDate
    28-30 Aug. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It is shown that the application of Jacobi iteration to the linear algebraic equations obtained from the state equations of a linear CNN with constant input by setting the derivatives of the states to zero yields the steady-state solution of the state equations. It is proved that the Jacobi iteration equation and that obtained by setting the integration time-step to a00 -1 in the discrete-time state equations obtained by the use of Euler forward difference are the same. It is also shown that the exact pixel values of the output image can be calculated
  • Keywords
    Jacobian matrices; cellular neural nets; discrete time filters; image processing; Euler forward difference; Jacobi iteration; discrete-time state equations; image processing; linear algebraic equations; linear cellular neural networks; linear filters; Cellular neural networks; Difference equations; Electronic mail; Image converters; Iterative methods; Jacobian matrices; Linear systems; Nonlinear filters; Pixel; Steady-state; Linear Filters; Raster simulation of CNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-0639-0
  • Electronic_ISBN
    1-4244-0640-4
  • Type

    conf

  • DOI
    10.1109/CNNA.2006.341622
  • Filename
    4145862