• DocumentCode
    811553
  • Title

    Pipelined algorithm for LS FIR filters with symmetric impulse response

  • Author

    Theodoridis, S. ; Kalouptsidis, N. ; Bakirtzis, D.

  • Author_Institution
    Dept. of Comput. Eng., Patras Univ., Greece
  • Volume
    38
  • Issue
    2
  • fYear
    1990
  • fDate
    2/1/1990 12:00:00 AM
  • Firstpage
    260
  • Lastpage
    270
  • Abstract
    A novel highly parallel algorithm is derived for LS FIR (least-squares finite impulse response) multichannel filters with symmetry in their impulse response. The derived algorithm requires O (p)+O(N) computing time and can be performed on a linear array of O(p) processors, p being the order of the corresponding filter and N the number of data points. Therefore, the computational time is reduced by an order of magnitude compared to existing Levinson-type algorithms. The problem is treated for the unknown statistics case. A by-product of the derived algorithm in the single-channel case is a concurrent algorithm for MEM (maximum entropy method) power spectral estimation. The proposed algorithm features high modularity and localized communication requirements, and lends itself to VLSI integration. A scheme that realizes the power spectral estimation algorithm in a systolic/wavefront mode is also proposed
  • Keywords
    computerised signal processing; digital filters; filtering and prediction theory; least squares approximations; parallel algorithms; spectral analysis; LS FIR filters; O(p) processors; concurrent algorithm; digital filter; highly parallel algorithm; least-squares finite impulse response; maximum entropy method; multichannel filters; pipelined algorithm; power spectral estimation; signal processing; symmetric impulse response; systolic/wavefront mode; Concurrent computing; Finite impulse response filter; Frequency domain analysis; Frequency response; Nonlinear filters; Parallel algorithms; Signal processing algorithms; Speech processing; Statistics; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.103062
  • Filename
    103062