• DocumentCode
    148950
  • Title

    Least-mean-square weighted parallel IIR filters in active-noise-control headphones

  • Author

    Guldenschuh, Markus

  • Author_Institution
    Inst. of Electron. Music & Acoust., Univ. of Music & Performing Arts Graz, Graz, Austria
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    1367
  • Lastpage
    1371
  • Abstract
    Adaptive filters in noise control applications have to approximate the primary path and compensate for the secondary-path. This work shows that the primary- and secondary-path variations of noise control headphones depend above all on the direction of incident noise and the tightness of the ear-cups. Both kind of variations are investigated by preliminary measurements, and it is further shown that the measured variations can be approximated with the linear combination of only a few prototype filters. Thus, a parallel adaptive linear combiner is suggested instead of the typical adaptive transversal-filter. Theoretical considerations and experimental results reveal that the parallel structure performs equally well, converges even faster, and requires fewer adaptation weights.
  • Keywords
    IIR filters; active noise control; adaptive filters; headphones; least mean squares methods; transversal filters; active-noise-control headphones; adaptation weights; adaptive transversal-filter; ear-cups; incident noise; least-mean-square weighted parallel IIR filters; parallel adaptive linear combiner; parallel structure; primary-path variations; secondary-path variations; Finite impulse response filters; Headphones; Least squares approximations; Microphones; Noise; Principal component analysis; Vectors; Adaptive linear combiner; adaptive filter; noise control headphones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952493