Bernard Widrow
From Wikipedia, the free encyclopedia
Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University.[1] He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff.[2] The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique.
Publications
- 1965 "A critical comparison of two kinds of adaptive classification networks", K. Steinbuch and B. Widrow, IEEE Transactions on Electronic Computers, pp. 737–740.
- 1985 B. Widrow and S. D. Stearns. Adaptive Signal Processing. New Jersey: Prentice-Hall, Inc., 1985.
- 1994 B. Widrow and E. Walach. Adaptive Inverse Control. New Jersey: Prentice-Hall, Inc., 1994.
- 2008 B. Widrow and I. Kollar. Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications. Cambridge University Press, 2008.
Honors
- Elected Fellow IEEE, 1976
- Elected Fellow AAAS, 1980
- IEEE Centennial Medal, 1984
- IEEE Alexander Graham Bell Medal, 1986
- IEEE Neural Networks Pioneer Medal, 1991
- Inducted into the National Academy of Engineering, 1995
- IEEE Signal Processing Society Award, 1999
- IEEE Millennium Medal, 2000
- Benjamin Franklin Medal, 2001
References
- ↑ Widrow's Stanford web page
- ↑ Andrew Goldstein (1997). "Bernard Widrow Oral History". IEEE Global History Network. IEEE. Retrieved 22 August 2011.
| Awards | ||
|---|---|---|
| Preceded by Charles K. Kao |
IEEE Alexander Graham Bell Medal 1986 |
Succeeded by Joel S. Engel, Richard H. Frenkiel and William C. Jakes, Jr. |
|
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