Bernard Widrow
Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff. 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. A summary of his work is.He is the namesake of "Uncle Bernie's Rule": the training sample size should be 10 times the number of weights in a network. Provided by Wikipedia
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Quantization noise : roundoff error in digital computation, signal processing, control, and communications /
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Proceedings of the 2000 IEEE Signal Processing Society workshop tenth in a series of workshops ; [held at University of Sydney, Sydney, Australia, December 11 - 13, 2000]
Published 2000Other Authors: “…Widrow, Bernard 1929-…”
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Proceedings of the 2000 IEEE Signal Processing Society workshop tenth in a series of workshops ; [held at University of Sydney, Sydney, Australia, December 11 - 13, 2000]
Published 2000Other Authors: “…Widrow, Bernard 1929-…”
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