• DocumentCode
    3463098
  • Title

    Adaptive IIR filtering employing subband decomposition

  • Author

    Yang, Yoon Gi ; Cho, Nam Ik ; Lee, Sang Uk

  • Author_Institution
    Sansung Electron. Co. Ltd., Seoul, South Korea
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    852
  • Abstract
    In this paper, a novel adaptive IIR filter employing subband decomposition is presented, To derive the subband IIR adaptive filter, the subband ARMA model is introduced. Then the subband IIR adaptive filter is proposed. The proposed subband IIR filter employs reduced order adaptive IIR filter in each subband, which can approximate high order adaptive ARMA system. The computer simulations reveal that the convergence performance of the proposed subband IIR filter outperforms the conventional parallel form adaptive IIR filter
  • Keywords
    IIR filters; adaptive filters; autoregressive moving average processes; digital filters; reduced order systems; adaptive IIR filtering; convergence performance; high order adaptive ARMA system; reduced order adaptive IIR filter; subband ARMA model; subband decomposition; Adaptive filters; Adaptive systems; Concurrent computing; Convergence; Filter bank; Filtering; IIR filters; Power system modeling; Stability; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.584516
  • Filename
    584516