• DocumentCode
    2651745
  • Title

    Parallel implementations of adaptive multichannel least squares lattice filters

  • Author

    Yang, B. ; Böhme, J.F.

  • Author_Institution
    Dept. of Electr. Eng., Ruhr Univ., Bochum, West Germany
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    1434
  • Abstract
    Efficient, numerically stable and highly concurrent algorithms for adaptive multichannel least-squares lattice filters are presented. The require O(pm2) orthogonal operations to update the linear prediction and estimation errors as well as all reflection coefficients for a m-channel and p-tap problem. Parallel array architectures for high-speed implementations are discussed
  • Keywords
    adaptive filters; computational complexity; digital filters; filtering and prediction theory; parallel architectures; FIR filtering; adaptive multichannel least squares lattice filters; highly concurrent algorithms; parallel array architectures; parallel implementations; Adaptive filters; Covariance matrix; Estimation error; Filtering; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Reflection; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112401
  • Filename
    112401
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2651745