• DocumentCode
    1414457
  • Title

    Hierarchical RLS algorithm for adaptive transversal FIR filters

  • Author

    Woo, Tai-Kuo

  • Author_Institution
    Dept. of Inf. Manage., Nat. Defense Manage. Coll., Taipei, Taiwan
  • Volume
    36
  • Issue
    24
  • fYear
    2000
  • fDate
    11/23/2000 12:00:00 AM
  • Firstpage
    2049
  • Lastpage
    2050
  • Abstract
    It is known that the convergence rate of the LMS algorithm is slow, especially when the channel has severe spectral nulls. The convergence rate of RLS is fast, but the computational complexity is high. A hierarchical RLS algorithm is proposed to reduce the computational complexity and increase the convergence rate of the RLS
  • Keywords
    FIR filters; adaptive filters; computational complexity; convergence of numerical methods; filtering theory; least squares approximations; adaptive transversal FIR filters; computational complexity reduction; convergence rate improvement; hierarchical RLS algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20001420
  • Filename
    888316
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1414457