• DocumentCode
    821205
  • Title

    Adaptive inverse filters for stereophonic sound reproduction

  • Author

    Nelson, Philip A. ; Hamada, Hareo ; Elliott, Stephen J.

  • Author_Institution
    Inst. of Sound & Vibration Res., Southampton Univ., UK
  • Volume
    40
  • Issue
    7
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    1621
  • Lastpage
    1632
  • Abstract
    A general theoretical basis for the design of adaptive digital filters used for the equalization of the response of multichannel sound reproduction systems is described. The approach is applied to the two-channel case and then extended to deal with arbitrary numbers of channels. The intention is to equalize not only the response of the loudspeakers and the listening room but also the crosstalk transmission from right loudspeaker to left ear and vice versa. The formulation is a generalization of the Atal-Schroeder crosstalk canceler. However, the use of a least-squares approach to the digital filter design and of appropriate modeling delays potentially allows the effective equalization of nonminimum phase components in the transmission path. A stochastic gradient algorithm which facilitates the adaptation of the digital filters to the optimal solution, thereby providing the possibility of designing the filters in situ, is presented. Some experimental results for the two-channel case are given
  • Keywords
    acoustic signal processing; adaptive filters; digital filters; equalisers; filtering and prediction theory; sound reproduction; Atal-Schroeder crosstalk canceler; acoustic signal processing; adaptive digital filters; crosstalk transmission; equalization; filter design; inverse filters; least-squares approach; modeling delays; multichannel sound reproduction systems; nonminimum phase components; stereophonic sound reproduction; stochastic gradient algorithm; transmission path; two-channel case; Adaptive equalizers; Adaptive filters; Crosstalk; Delay effects; Digital filters; Ear; Least squares methods; Loudspeakers; Space technology; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.143434
  • Filename
    143434