Reduced-rank adaptive filtering

1997301 citationsJournal Article

Authors

J.S. Goldstein · University of Southern California

I.S. Reed · University of Southern California

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.

Topics & Keywords

Advanced Adaptive Filtering Techniques Direction-of-Arrival Estimation Techniques Image and Signal Denoising Methods

Publication Details

Published in: IEEE Transactions on Signal Processing

Volume 45, Issue 2, pp. 492-496

DOI: 10.1109/78.554317

Field-Weighted Citation Impact: 11.66

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Reduced-rank adaptive filtering

Authors

Abstract

Topics & Keywords

Publication Details