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  1. 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]

  2. Bernard Widrow has 14 books on Goodreads with 67 ratings. Bernard Widrows most popular book is Adaptive Signal Processing.

  3. Bernard Widrow is Professor Emeritus in the Electrical Engineering Department at Stanford University. His research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, cybernetics, and human-like memory for computers.

  4. History: The 1940's to the 1970's. In 1943, neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on how neurons might work. In order to describe how neurons in the brain might work, they modeled a simple neural network using electrical circuits.

  5. Bernard Widrow. Prof. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition.

  6. Publications of Bernard Widrow. Books. B. Widrow and S.D. Stearns, Adaptive Signal Processing, Prentice Hall, Englewood Cliffs, NJ, 1985. S. Haykin and B. Widrow, eds., Least-Mean-Square Adaptive Filters, Wiley-Interscience, Hoboken, NJ, 2003.

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  8. Looking for books by Bernard Widrow? See all books authored by Bernard Widrow, including Adaptive Signal Processing, and Cybernetics 2.0: A General Theory of Adaptivity and Homeostasis in the Brain and in the Body, and more on ThriftBooks.com.