• DocumentCode
    542808
  • Title

    Stochastic least-symbol-error-rate adaptive equalization for pulse-amplitude modulation

  • Author

    Chen, S. ; Mulgrew, B. ; Hanzo, L.

  • Author_Institution
    Department of Electronics and Computer Science, University of Southampton, 17 1 BJ, U.K.
  • Volume
    3
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    The paper derives a stochastic-gradient minimum symbol-error-rate (MSER) algorithm, called the least symbol error rate (LSER), for training the linear equalizer and linear-combiner decision feedback equalizer (DFE) with M -PAM signalling. This LSER algorithm has some performance advantages, in terms of faster convergence rate and smaller steady-state symbol error rate (SER) misadjustment, over an existing simpler stochastic-gradient adaptive MSER algorithm called the approximate MSER (AMSER).
  • Keywords
    Adaptation model; Artificial neural networks; Decision feedback equalizers;
  • 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.2002.5745187
  • Filename
    5745187
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=542808