• DocumentCode
    3422618
  • Title

    Adaptive echo cancellation using genetic algorithms

  • Author

    Al-BaBa, Luaie A. ; Horner, S.L. ; Holls, William ; Crilly, Paul B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
  • fYear
    1992
  • fDate
    9-13 Nov 1992
  • Firstpage
    1041
  • Abstract
    The authors discuss a signal processing method which has been found to be very effective in removing echoes. This method consists of two steps. The first step is to detect and locate the echo signal by using Hilbert transforms. The second step is to remove the echoes by a near optimal subtraction using genetic algorithms. The theory and results of using the Hilbert transform and genetic algorithms for echo cancellation are outlined
  • Keywords
    echo suppression; genetic algorithms; signal processing; transforms; Hilbert transforms; adaptive echo cancellation; echo signal detection; echo signal location; genetic algorithms; near optimal subtraction; signal processing method; Delay effects; Ear; Echo cancellers; Genetic algorithms; Genetic engineering; Home computing; Humans; Signal processing; Speech; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0582-5
  • Type

    conf

  • DOI
    10.1109/IECON.1992.254469
  • Filename
    254469