• DocumentCode
    1467952
  • Title

    Fast transversal filters for deconvolution in multichannel sound reproduction

  • Author

    Gonzalez, Alberto ; Lopez, Jose J.

  • Author_Institution
    Dept. de Comunicaciones, Univ. Politecnica de Valencia, Spain
  • Volume
    9
  • Issue
    4
  • fYear
    2001
  • fDate
    5/1/2001 12:00:00 AM
  • Firstpage
    429
  • Lastpage
    440
  • Abstract
    The use of Kalman filtering techniques for multichannel inverse filter design in sound reproduction systems is presented. The method exploits the nonsymmetric Toeplitz-block structure of the actual multichannel system matrix that is used to specify the electroacoustic transmission paths. The result is a matrix of causal finite impulse response filters which best approximate a given time domain response in the least squares sense. The method presents low memory and computational requirements and its time updating properties make it suitable for real time applications in nonstationary environments. Under certain conditions the method carries out the exact multichannel system inverse as formulated by the multiple-input/output inverse filtering theorem. Some practical examples are also presented which illustrate the properties of the algorithm
  • Keywords
    FIR filters; Kalman filters; Toeplitz matrices; deconvolution; inverse problems; least squares approximations; sound reproduction; 3D audio; Kalman filtering; causal finite impulse response filters; deconvolution; electroacoustic transmission paths; fast transversal filters; least squares approximation; low computational requirements; low memory requirements; multichannel inverse filter design; multichannel sound reproduction systems; multichannel system inverse; multichannel system matrix; multiple-input/output inverse filtering theorem; nonstationary environments; nonsymmetric Toeplitz-block structure; real time applications; time domain response approximation; time updating properties; Associate members; Deconvolution; Filtering; Finite impulse response filter; Kalman filters; Least squares approximation; Signal processing algorithms; Space technology; Symmetric matrices; Transversal filters;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.917688
  • Filename
    917688