A novel rank reduction scheme is introduced for adaptive filtering pro
blems. This rank reduction method uses a cross-spectral metric to sele
ct the optimal lower dimensional subspace for reduced-rank adaptive fi
ltering as a function of the basis vectors of the full-rank spade.