• DocumentCode
    311406
  • Title

    Fast exact filtered-X LMS and LMS algorithms for multichannel active noise control

  • Author

    Douglas, S.C.

  • Author_Institution
    Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    399
  • Abstract
    In some situations where active noise control could be used, the well-known multichannel version of the filtered-X LMS adaptive filter is too computationally-complex to implement. In this paper, we develop a fast, exact implementation of this multichannel system whose complexity is approximately O(2L) per filter channel, where L is the FIR filter length. In addition, we provide a computationally-efficient method for effectively removing the delays of the secondary paths within the coefficient updates, thus yielding a fast implementation of the LMS adaptive algorithm for multichannel active noise control. Examples illustrate both the equivalence of the algorithms to their original counterparts and the computational gains provided by the new algorithms
  • Keywords
    FIR filters; acoustic filters; acoustic noise; acoustic signal processing; active noise control; computational complexity; delays; interference suppression; least mean squares methods; FIR filter length; LMS adaptive algorithm; LMS algorithms; active noise control; coefficient updates; complexity; computationally-efficient method; delays; filtered-X LMS; multichannel system; secondary paths; Acoustic noise; Active noise reduction; Adaptive algorithm; Adaptive control; Adaptive filters; Error correction; Finite impulse response filter; Least squares approximation; Programmable control; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.599657
  • Filename
    599657