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“Reduced-Rank Adaptive Filtering”
by J. Scott Goldstein and Irving S. Reed
February 1997
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.