Open main menu

Wikipedia β

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.

Bernard Widrow
Born (1929-12-24) December 24, 1929 (age 87)
Nationality American
Alma mater Stanford University
Scientific career
Fields Electrical engineering
Institutions Stanford University
Doctoral advisor William Linvill
Doctoral students Parham Aarabi
Marcian Hoff
Alvy Ray Smith
Maryhelen Stevenson


  • 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.



  1. ^ "Widrow's Stanford web page". Information Systems Laboratory, Electrical Engineering Department, Stanford University. 
  2. ^ a b c d e f Andrew Goldstein (1997). "Bernard Widrow Oral History". IEEE Global History Network. IEEE. Retrieved 22 August 2011. 
  3. ^ "The 2001 Benjamin Franklin Medal in Engineering presented to Bernard Widrow - Journal of the Franklin Institute - Tom 339, Numer 3 (2002) - Biblioteka Nauki - Yadda". 
Preceded by
Charles K. Kao
IEEE Alexander Graham Bell Medal
Succeeded by
Joel S. Engel, Richard H. Frenkiel and William C. Jakes, Jr.