Reduced-rank adaptive filtering

  • Authors:
  • J.S. Goldstein;I.S. Reed

  • Affiliations:
  • USAF Rome Lab., NY;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1997

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Abstract

A novel rank reduction scheme is introduced for adaptive filtering problems. This rank reduction method uses a cross-spectral metric to select the optimal lower dimensional subspace for reduced-rank adaptive filtering as a function of the basis vectors of the full-rank space