• DocumentCode
    1442237
  • Title

    Fast least squares adaptive notch filtering

  • Author

    Travassos-Romano, J.M. ; Bellanger, M.

  • Author_Institution
    LSS/ESE, Plateau du Moulon, Gif-sur-Yvette, France
  • Volume
    36
  • Issue
    9
  • fYear
    1988
  • fDate
    9/1/1988 12:00:00 AM
  • Firstpage
    1536
  • Lastpage
    1540
  • Abstract
    An adaptive notch filter based on a fast recursive-least-squares (FLS) algorithm is introduced. The structure is canonical and consists of a transversal section cascaded with an IIR section. The adaptive procedure takes place in the transversal section, and the impact of the notch factor is pointed out. Overall, the FLS notch filter has about the same complexity as the fast transversal adaptive filter, but it performs better for the analysis of narrowband signals in high-level noise
  • Keywords
    filtering and prediction theory; least squares approximations; IIR section; canonical; complexity; high-level noise; least squares adaptive notch filtering; narrowband signals; notch factor; transversal section; Acoustic signal processing; Adaptive filters; Adaptive signal processing; Filtering; IIR filters; Least squares methods; Power harmonic filters; Signal processing algorithms; Speech processing; Transversal filters;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.90388
  • Filename
    90388