[dsp HISTORY] Bernard Widrow

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Date: 2006-03-27 20:33:12 Signal processing Electronics Neural networks Adaptive filter Bernard Widrow Wiener filter Finite impulse response Perceptron ADALINE Digital signal processing Electronic engineering Filter theory		[dsp HISTORY] Bernard Widrow Add to Reading List Source URL: www-isl.stanford.edu Download Document from Source Website File Size: 586,99 KB Share Document on Facebook

	Neural Networks for Self-Learning Control Systems Derrick H. Nguyen and Bernard Widrow ABSTRACT: Neural networks can be used to solve highly nonlinear control problems. This paper shows how a neural network can DocID: 1ukb0 - View Document
	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I 218 Property I: Let a E Pn and separate a into its even and odd parts, ae and a,, DocID: 1myAW - View Document
	Bernard Widrow August 21, 2008 Patents 1. B. Widrow and M.E. Hoff, Jr., “Logic Circuit and Electrolytic Memory Element,” US Patent 3,222,654, December 1965. DocID: 1mxJu - View Document
	30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation BERNARD WIDROW, FELLOW, IEEE, DocID: 1mwvr - View Document
	ADAPTWE SIGNAL PROCESSING FOR ADAPTIVE CONTROL Bernard Widrow Department of Electrical Engineering Stanford University, Stanford, CA Eugene Walach DocID: 1mvIv - View Document