• DocumentCode
    2960857
  • Title

    Strategies for adaptive nonlinear noise reduction Volterra-Wiener filter structure selection

  • Author

    Biernacki, Pawel

  • Author_Institution
    Tech. Univ. of Wroclaw, Wroclaw
  • fYear
    2006
  • fDate
    10-13 Dec. 2006
  • Firstpage
    834
  • Lastpage
    837
  • Abstract
    In this article a nonlinear orthogonal noise cancelling filter parameters selection strategy is proposed to maximize noise cancelling quality to computation complexity ratio. Presented approach leads to the orthogonal realization of the nonlinear noise cancelling filter of Volterra-Wiener class which structure changes due to higher-order statistics of the filtered signals.
  • Keywords
    Volterra series; Wiener filters; computational complexity; higher order statistics; nonlinear filters; Volterra-Wiener filter; adaptive nonlinear noise reduction; computation complexity ratio; higher-order statistics; noise cancelling quality; parameters selection; Adaptive filters; Electronic mail; Estimation error; Filtering theory; Fourier series; Higher order statistics; Noise cancellation; Noise figure; Noise reduction; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    1-4244-0395-2
  • Electronic_ISBN
    1-4244-0395-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2006.379918
  • Filename
    4263496