• DocumentCode
    3389330
  • Title

    A Channel Shortening Approach for Nonlinear Acoustic Echo Cancellation

  • Author

    Shi, Kun ; Ma, Xiaoli ; Zhou, G. Tong

  • Author_Institution
    School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA 30332-0250, USA
  • fYear
    2007
  • fDate
    26-29 Aug. 2007
  • Firstpage
    351
  • Lastpage
    354
  • Abstract
    Acoustic echo cancellers (AECs) are critical for enhancing audio quality in many telecommunication systems. The problem is challenging because the long room impulse response slows the convergence rate and increases the computational complexity of the AEC designs. Nonlinearity in the power amplifier or the loudspeaker further exacerbates the problem. In this paper, we propose a novel AEC algorithm when the loudspeaker-enclosure-microphone system is described by a Hammerstein model. We show that by introducing a shortening filter, the length of the "effective" acoustic echo path is reduced considerably. An adaptive algorithm is developed for the proposed nonlinear AEC structure; its effectiveness is illustrated by computer simulations.
  • Keywords
    Adaptive algorithm; Computational complexity; Computer simulation; Convergence; Echo cancellers; Filters; Loudspeakers; Nonlinear acoustics; Power amplifiers; Power system modeling; Acoustic echo cancellation; Channel shortening; Hammerstein system; Nonlinear adaptive filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
  • Conference_Location
    Madison, WI, USA
  • Print_ISBN
    978-1-4244-1198-6
  • Electronic_ISBN
    978-1-4244-1198-6
  • Type

    conf

  • DOI
    10.1109/SSP.2007.4301278
  • Filename
    4301278