1996 IEEE Donald G. Fink Prize


This award recognizes the most outstanding survey published in any of the IEEE publications. The award-winning article listed below details the authors’ novel state-space approach to RLS adaptive filtering; it clarified for the first time the exact and complete relationship that exists between the field of Kalman filtering, which has been widely studied by control engineers since the early 1960s, and the field of RLS adaptive filtering. The prize winning article was:

A. H. Sayed and T. Kailath, “A state-space approach to adaptive RLS filtering”, IEEE Signal Processing Magazine, vol. 11, no. 3, pp. 18-60, Jul. 1994. [pdf ] [typos]