EE 129. Neural and Nonlinear Information Processing


Catalog Description: (3 units) Three hours of lecture per week. Principles of massively parallel real-time computation, optimization, and information processing via nonlinear dynamics and analog VLSI neural networks, applications selected from image processing, pattern recognition, feature extraction, motion detection, data compression, secure communication, bionic eye, auto waves, and Turing patterns.

Prerequisites: EE120 or consent of instructor

Course objectives: To present a unified treatment of real-time analog computation, image processing, and optimization using analog VLSI neural networks which exploits the massively parallel nonlinear dynamics of the circuit. Novel applications to image processing, waves, and patterns will be emphasized.

Topics Covered:

General Catalog

Undergraduate Student Learning Goals