Bernard Widrow
From Infogalactic: the planetary knowledge core
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. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering.
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[2]
- Elected Fellow AAAS, 1980[2]
- IEEE Centennial Medal, 1984[2]
- IEEE Alexander Graham Bell Medal, 1986[2]
- IEEE Neural Networks Pioneer Medal, 1991[2]
- Inducted into the National Academy of Engineering, 1995
- IEEE Signal Processing Society Award, 1999
- IEEE Millennium Medal, 2000
- Benjamin Franklin Medal, 2001[3]
References
| Awards | ||
|---|---|---|
| Preceded by | IEEE Alexander Graham Bell Medal 1986 |
Succeeded by Joel S. Engel, Richard H. Frenkiel and William C. Jakes, Jr. |
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