Bernard Widrow

Professor Emeritus
Electrical Engineering Department
Stanford University

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.

Courses Taught
EE373A Adaptive Signal Processing
EE373B Adaptive Neural Networks
EE375 Quantization Noise

Short CV

Hearing Aid Device
A directional acoustic receiving system is constructed in the form of a necklace, including an array of two or more microphones mounted on a housing supported on the chest of the user by a conducting loop encircling the user's neck. This method enables the design of highly-drective-hearing instruments which are comfortable, inconspicuous, and convenient to use. The array provides the user with a dramatic improvement in speech perception over existing hearing aid designs, particularly in the presence of background noise, reverberation, and feedback.

B. Widrow, ``A Microphone Array for Hearing Aids,'' IEEE Circuits and Systems Magazine, 1(2):26-32, 2001.

Quantization Noise
Prof. Widrow's most recent book, Quantization Noise, co-authored with Istvan Kollar, is available for purchase at the Cambridge University Press website. Click on the book at left to browse through it or to purchase a copy.

Office: Packard Building, Room 252
Address: 350 Serra Mall, Stanford, CA 94305