Control

The area of automatic control centers on the study of fundamental principles, analysis, and design of feedback systems. Feedback is employed in a large number of engineering applications to reduce degradation in system performance resulting from factors such as noise, model uncertainty, nonlinearity, and other undesirable phenomena. Specific applications include aircraft, automobile, reactor control, robotics, power system design, and economic policy analysis.

Faculty: Barmish, Cobb, DeMarco, Dobson, Hiskens, Sethares

• Complex Systems — DeMarco, Dobson, Sethares
• Digital Control Theory — Cobb, Sethares
• Nonlinear Dynamics — DeMarco, Dobson, Hiskens, Sethares
• Robustness, Computational Complexity — Barmish, Cobb, DeMarco

Communications

The area of communications embraces the science, technology, and applications supporting the transfer and organization of information of diverse media types and formats through communication networks and channels. Faculty in this area are involved in wireless communications, computer communication networks, simulation of communication systems, graph-based coding and decoding techniques, cryptography, watermarking, and information theory.

Faculty: Boston, Bucklew, Gubner, Hu, Nowak, Sayeed, Sethares, Draper, Van Veen

• Communication Networks — Gubner, Ramanathan Sayeed,
• Digital/Wireless Communications — Bucklew, Gubner, Ramanathan, Sayeed, Van Veen
• Wireless Sensor Networks — Gubner, Hu, Nowak, Sayeed, Sethares,

Signal Processing

Signal processing is concerned with the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques. The term “signal” includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and other signals. Faculty in this area are involved in a wide range of applications including speech processing, image processing, pattern recognition, acoustics, optical processing, adaptive filtering, parallel implementation of filters, and biomedical signal analysis.

Faculty: Boston, Bucklew, Gubner, Hu, Milenkovic, Nowak, Sayeed, Sethares, Draper, Van Veen

• Acoustic/Speech Signal Processing — Milenkovic, Sethares
• Adaptive Algorithms — Bucklew, Sethares, Van Veen
• Array Signal Processing — Hu, Sayeed, Van Veen
• Image/Video Processing — Boston, Hu, Nowak, Sethares
• Statistical Signal Processing — Bucklew, Gubner, Sayeed, Van Veen

Biomedical

Biomedical engineering is the application of the tools of mathematics and the physical sciences to biological and medical problems. ECE faculty are involved in bioelectronic and bioelectromagnetic problems that range from basic to applied, and include both diagnostic and therapeutic medical applications. Research includes all aspects of biomedical systems, such as sensors, electronics, microcomputer subsystems, imaging, and signal processing. Mathematical modeling of physiological systems is also investigated.

Faculty: Blick, Cerrina, Hagness, Hu, Jiang, Milenkovic, Nowak, Scharer, Shohet, van der Weide Van Veen

Copyright 2007 The Board of Regents of the University of Wisconsin System Date last modified: 20-Aug-2007 Date created: 13-Nov-1995 Content by: ece@engr.wisc.edu Accessibility Web services UW-Madison : COE : ECE : ECE Site Map