• DocumentCode
    1561669
  • Title

    Using auxiliary signal to remove the SPR condition from recursive adaptive algorithms

  • Author

    Tang, Ke ; Feng, C.

  • Author_Institution
    Dept. of Radio & Electron., Tsinghua Univ., Beijing
  • fYear
    1989
  • Firstpage
    1051
  • Abstract
    The use of adaptive recursive filters and output error identification techniques has been severely restricted by the need to satisfy the so-called SPR (strictly positive real) condition. A method to remove the SPR condition by using an auxiliary signal is demonstrated. It is based on the HARF (hyperstable adaptive recursive filter). By choosing a proper auxiliary sequence, the adaptive algorithm can asymptotically converge for any possible input sequence. The proposed method exhibits low computational complexity, fast convergence, and good rejection of disturbances
  • Keywords
    adaptive filters; signal processing; auxiliary sequence; auxiliary signal; computational complexity; disturbances rejection; fast convergence; hyperstable adaptive recursive filter; input sequence; output error identification; recursive adaptive algorithms; strictly positive real condition; Adaptive algorithm; Adaptive filters; Context modeling; Delay; Filtering algorithms; Information filtering; Information filters; Stability; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266612
  • Filename
    266612