• DocumentCode
    284742
  • Title

    Artificial neural network based stability testing of two-dimensional infinite impulse response digital filters

  • Author

    Aghili, Seyed M. ; Thursby, Michael H. ; Marpaka, D. Rao

  • Author_Institution
    Dept. of Electr. Eng., McNeese State Univ., Lake Charles, LA, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    333
  • Abstract
    An alternative technique for testing the stability of a 2-D infinite impulse response (IIR) digital filter using artificial neural networks is presented. The technique provides a comprehensive solution for each class of filters and utilizes a network architecture with multiple synaptic weights
  • Keywords
    digital filters; neural nets; stability; testing; artificial neural networks; infinite impulse response digital filters; multiple synaptic weights; network architecture; stability testing; two-dimensional; Artificial neural networks; Computer architecture; Digital filters; Equations; IIR filters; Impulse testing; Lakes; Polynomials; Stability analysis; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226052
  • Filename
    226052