• DocumentCode
    2026656
  • Title

    A delta -operator recursive gradient algorithm for adaptive signal processing

  • Author

    Fan, Hong ; Li, Qiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
  • Volume
    3
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    492
  • Abstract
    The authors investigate how the delta operator can be used in adaptive signal processing and its numerical advantages in identifying LDLF (lightly damped low-frequency) poles. A delta recursive gradient algorithm is developed, and its local convergence speed is analyzed. Computer simulations show drastic improvement in convergence speed over the q-operator-based algorithms for LDLF poles.<>
  • Keywords
    adaptive filters; convergence of numerical methods; poles and zeros; signal processing; adaptive signal processing; delta operator; lightly damped low-frequency poles; local convergence speed; recursive gradient algorithm; simulations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319542
  • Filename
    319542
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2026656