• DocumentCode
    811810
  • Title

    New Levinson, Schur, and lattice type algorithms for linear phase filtering

  • Author

    Berberidis, Kostas ; Theodoridis, Sergios

  • Author_Institution
    Dept. of Comput. Eng. & Comput. Technol. Inst., Patras Univ., Greece
  • Volume
    38
  • Issue
    11
  • fYear
    1990
  • fDate
    11/1/1990 12:00:00 AM
  • Firstpage
    1879
  • Lastpage
    1892
  • Abstract
    The LS estimate of the impulse response of FIR filters with linear phase is known to be given by a structured linear set of equations. Three new algorithms are presented for the efficient solution of such systems. One is the unwindowed extension of a previously derived Levinson-type structurally symmetric algorithm. The second is a novel exact least squares lattice algorithm for time-recursive processing. The third is a Schur-type structurally symmetric algorithm with high degree of parallelism. The new structures have considerably lower computational complexity and more parsimonious parametrization compared to previously derived algorithms. This is because, in contrast to the previously derived algorithms, the new algorithms are developed so as to respect the symmetry which is intrinsic in the linear phase problem
  • Keywords
    computational complexity; digital filters; filtering and prediction theory; least squares approximations; signal processing; FIR filters; Levinson-type structurally symmetric algorithm; Schur-type structurally symmetric algorithm; computational complexity; exact least squares lattice algorithm; linear phase filtering; parsimonious parametrization; time-recursive processing; Equations; Filtering algorithms; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Signal processing algorithms; Spectral analysis; System identification; Transversal filters;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.103089
  • Filename
    103089