• DocumentCode
    1468758
  • Title

    Proportionate Affine Projection Sign Algorithms for Network Echo Cancellation

  • Author

    Yang, Zengli ; Zheng, Yahong Rosa ; Grant, Steven L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • Volume
    19
  • Issue
    8
  • fYear
    2011
  • Firstpage
    2273
  • Lastpage
    2284
  • Abstract
    Two proportionate affine projection sign algorithms (APSAs) are proposed for network echo cancellation (NEC) applications where the impulse response is often real-valued with sparse coefficients and long filter length. The proposed proportionate-type algorithms can achieve fast convergence and low steady-state misalignment by adopting a proportionate regularization matrix to the APSA. Benefiting from the characteristics of l1-norm optimization, affine projection, and proportionate matrix, the new algorithms are more robust to impulsive interferences and colored input than the proportionate least mean squares (PNLMS) algorithm and the robust proportionate affine projection algorithm (Robust PAPA). The new algorithms also achieve much faster convergence rate in sparse impulse responses than the original APSA and the normalized sign algorithm (NSA). The new algorithms are robust to all types of NEC impulse response with different sparseness without the need to change parameters or estimate the sparseness of the impulse response. The computational complexity of the new algorithms is lower than the affine projection algorithm (APA) family due to the elimination of the matrix inversion.
  • Keywords
    adaptive filters; echo suppression; least mean squares methods; matrix algebra; optimisation; transient response; computational complexity; filter length; impulsive interferences; matrix inversion; network echo cancellation; normalized sign algorithm; proportionate affine projection sign algorithms; proportionate least mean squares algorithm; proportionate regularization matrix l1-norm optimization; proportionate-type algorithms; sparse coefficients; sparse impulse responses; steady-state misalignment; Computational complexity; Convergence; Interference; Robustness; Sparse matrices; Speech; Steady-state; Adaptive filter; affine projection; network echo canceller (NEC); proportionate adaptive algorithm; sign algorithm; sparse response;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2011.2125955
  • Filename
    5728849