• DocumentCode
    3037846
  • Title

    Adaptive algorithms and their convergence characteristics

  • Author

    Hodgkiss, W.S.

  • Author_Institution
    Scripps Institution of Oceanography, San Diego, California
  • fYear
    1981
  • fDate
    16-18 Dec. 1981
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    The convergence characteristics of the gradient transversal filter (LMS), the one coefficient gradient lattice (GL1), and the least squares lattice (LSL) are explored via two examples. The first investigates their ability to track the frequency dynamics of dual sinusoids whose power levels are widely separated and the second investigates the rate at which each algorithm is able to whiten a fourth order, complex, autoregressive process.
  • Keywords
    Adaptive algorithm; Adaptive filters; Array signal processing; Convergence; Laboratories; Lattices; Least squares approximation; Least squares methods; Nonlinear filters; Transversal filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the Symposium on Adaptive Processes, 1981 20th IEEE Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1981.269436
  • Filename
    4046877
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3037846