• DocumentCode
    2937426
  • Title

    Fractional Fourier domain LMS-based adaptive filtering algorithms in active noise control

  • Author

    Aldirmaz, Sultan ; Durak, Lütfiye ; Serbes, Ahmet

  • Author_Institution
    Elektron. ve Haberlesme Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul
  • fYear
    2008
  • fDate
    20-22 April 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel adaptive filtering technique based on fractional Fourier domains to suppress non-stationary noise is investigated and analyzed in this paper. In case of adapting in fractional Fourier domains, the MSE of ANC systems improved at least twice compared to the time-domain adaptation.
  • Keywords
    Fourier transforms; adaptive filters; interference suppression; least mean squares methods; signal denoising; LMS-based adaptive filtering algorithm; active noise control; fractional Fourier domain; nonstationary noise suppression; 1f noise; Active noise reduction; Adaptive filters; Filtering algorithms; Frequency; Least squares approximation; Monte Carlo methods; Reactive power; Remuneration; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
  • Conference_Location
    Aydin
  • Print_ISBN
    978-1-4244-1998-2
  • Electronic_ISBN
    978-1-4244-1999-9
  • Type

    conf

  • DOI
    10.1109/SIU.2008.4632655
  • Filename
    4632655
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2937426