TUTORIAL - C
AUTOMATIC SIGNAL CLASSIFICATION
The purposes of this tutorial are to instruct the attendees on a methodology for developing automatic signal classifiers and recognizers, and to provide them with relevant information and references to facilitate such development. The tutorial deals with both the theoretical and practical aspects of signal classification, in particular on the derivation of appropriate signal “features” - numerical quantities that capture some distinctive characteristic(s) of one or more of the signal types under consideration - and on various alternatives for the decision logic for making classification decisions.
A set of viewgraphs, an extensive list of references, and reprints of selected papers will be provided.
Biographical Sketches of Dr. Rice and Professor Polydoros:
Dr. Bart Rice is a Senior Consulting Engineer for Lockheed Martin, Inc. He has worked in communications, signal processing, and related areas since 1972, and he has been involved with signal classification/recognition/identification, signal quality estimation, interference mitigation, and signal detection and analysis since 1980. He holds a BA (mathematics) from Rice University, Masters Degrees in Computer Science and Electrical Engineering from The Johns Hopkins University, and a PhD (mathematics) from Louisiana State University. Until recently, he was an adjunct lecturer at Santa Clara University, and before that at Virginia Polytechnic Institute, the University of Maryland, and George Washington University. He was the founder and past chairman of the Santa Clara Valley of the IEEE Signal Processing Society. He is a registered Professional Engineer in the state of California, with five patents (plus one pending) and more than twenty-five papers in various journals, conference proceedings, and a volume of selected papers.
Professor Andreas Polydoros is Professor of Electrical Engineering, University of Southern California. He holds an EE Diploma from National Technical University of Athens, Greece, MSEE from the State University of New York at Buffalo, and PhDEE from the University of Southern California. He has an extensive publication list of well over one hundred papers in selected books, journals, and conference proceedings, plus one patent. He is the recipient of a 1986 National Science Foundation Presidential Young Investigator Award. He was the Associate Editor for Communications of the IEEE Transactions on Information Theory in 1987-88 He is a Fellow of the IEEE and an internationally recognized expert in signal processing theory. His principal areas of research are in statistical communication theory with applications to spread-spectrum systems, signal detection and classification, and multi-user radio networks.