• DocumentCode
    1674486
  • Title

    Conjugate gradient equalizers adaptation algorithm versus LMS algorithm

  • Author

    Tasic, Jurij ; Blaznik, Polona

  • Author_Institution
    Jozef Stefan Inst., Ljubljana, Yugoslavia
  • fYear
    1989
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    The LMS (least mean square) and conjugate-gradient window (CGW) algorithms are considered for use in digital equalizers. The equalizer with implementation of the CGW algorithm is shown to require more computation, but the convergence is faster and the equalizer can be used in worse conditions. The simulation results are encouraging. The implementation of the CGW method for multilevel quadrature modulation is noted
  • Keywords
    amplitude modulation; iterative methods; least squares approximations; CGW; LMS; conjugate gradient equalisers adaptation algorithm; conjugate-gradient window; convergence; digital equalizers; least mean square algorithm; multilevel quadrature modulation; Adaptive algorithm; Adaptive equalizers; Filtering theory; Least squares approximation; Paper technology; Robustness; Signal processing; Symmetric matrices; Transversal filters; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1989. Proceedings. 'Integrating Research, Industry and Education in Energy and Communication Engineering', MELECON '89., Mediterranean
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/MELCON.1989.50017
  • Filename
    50017