• DocumentCode
    1532864
  • Title

    Comments, with reply, on "Adaptive algorithms with an automatic gain control feature" by T.J. Shan and T. Kailath

  • Author

    Karni, Shlomo ; Zeng, Gengsheng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    37
  • Issue
    7
  • fYear
    1990
  • fDate
    7/1/1990 12:00:00 AM
  • Firstpage
    974
  • Lastpage
    975
  • Abstract
    It is shown that the new LMS (least-mean-square) algorithm introduced in the above-titled paper (see ibid., vol.35, no.1, p.122-7, 1988) is not properly devised and that it may make the algorithm itself divergent or ´sleep´ forever. The authors respond to three points raised by the commenters, noting that the first is the result of an error in the paper, and the second is a universal assumption for algorithms such as theirs and therefore they did not explicitly mention it. They agree that the commenter´s third point is significant and means that the algorithm may tend not to work for high-dimensional vector X, but that a more definite statement will need accurate convergence analysis, which is not at hand.<>
  • Keywords
    adaptive filters; automatic gain control; filtering and prediction theory; least squares approximations; LMS; automatic gain control feature; convergence analysis; divergent; high-dimensional vector X; Adaptive algorithm; Algorithm design and analysis; Circuits and systems; Convergence; Equations; Filtering algorithms; Gain control; Stability; Statistics; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/31.55079
  • Filename
    55079