• DocumentCode
    960589
  • Title

    Concurrent algorithms for a class of 1-D and 2-D Wiener FIR filters with symmetrical impulse response

  • Author

    Kalouptsidis, N. ; Theodoridis, S.

  • Author_Institution
    Dept. of Phys., Athens Univ., Greece
  • Volume
    37
  • Issue
    11
  • fYear
    1989
  • fDate
    11/1/1989 12:00:00 AM
  • Firstpage
    1780
  • Lastpage
    1782
  • Abstract
    Consideration is given to the development of parallel algorithms for the design of mean-squared-error multichannel zero-phase smoothers and 2-D image noncausal models. The resulting algorithms require approximately O(p) additions and block multiplications, with p being the order of the corresponding filter or model. Efficient order-recursive Levinson-type and Schur-type algorithms are derived. The Schur-type algorithms exhibit a high degree of parallelism and can be performed on a linear array of O(p) processors in O( p) time units
  • Keywords
    digital filters; filtering and prediction theory; parallel algorithms; two-dimensional digital filters; 1D filters; 2-D image noncausal models; 2D filters; Levinson-type algorithms; Schur-type algorithms; Wiener FIR filters; concurrent algorithms; digital filters; mean-squared-error multichannel zero-phase smoothers; order recursive algorithms; parallel algorithms; symmetrical impulse response; Acoustic signal processing; Adaptive signal processing; Difference equations; Finite impulse response filter; Least squares approximation; Predictive models; Rayleigh channels; Signal processing algorithms; Speech processing; Wiener filter;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.46564
  • Filename
    46564