• DocumentCode
    3469445
  • Title

    An Acoustic Echo Cancellation Technique Based on Kurtosis Subgradient Projection Algorithm

  • Author

    Jie, Qiao ; Li, Zhao ; Cai-Rong, Zou

  • Author_Institution
    Southeast Univ., Nanjing
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    Based on the technique of projection onto convex sets (POCS), a kurtosis subgradient projection (KSP) algorithm is proposed in this paper which is applied in the scheme of the acoustic echo cancellation successfully. KSP algorithm utilizes the kurtosis of error signal after adaptive filtering as the projection area and expands this projection area to half space by using the definition of subgradient. Finally a simply projection expression can be got by projecting onto this half space. Experiments indicate that not only the convergence speed is increased but also the robustness to noise is enhanced compared to traditional method. Additionally, system performance gets promoted evaluated either by mean square error (MSE) or by echo path misalignment.
  • Keywords
    acoustic signal processing; adaptive filters; echo; gradient methods; mean square error methods; set theory; acoustic echo cancellation; adaptive filtering; convex sets; echo path misalignment; error signal; kurtosis subgradient projection algorithm; mean square error; Adaptive filters; Clustering algorithms; Computational complexity; Convergence; Echo cancellers; Filtering algorithms; Iterative algorithms; Projection algorithms; Resonance light scattering; System performance; acoustic echo cancellation; kurtosis; projection onto convex sets (POCS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338610
  • Filename
    4338610