• DocumentCode
    542588
  • Title

    Optimum error nonlinearities for long adaptive filters

  • Author

    Al-Naffouri, Tareq Y. ; Sayed, Ali H.

  • Author_Institution
    Information Systems Lab, Electrical Engineering Department, Stanford University, CA 94305, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    In this paper, we consider the class of adaptive filters with error nonlinearities. In particular, we derive an expression for the optimum nonlinearity that minimizes the steady-state error and attains the limit mandated by the Cramer-Rae bound of the underlying estimation process.
  • Keywords
    Gold; Noise; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5744885
  • Filename
    5744885
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=542588