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Plenary Lecture

Novel Transform Domain Principal Component Analysis (PCA) Techniques and Some Applications: Facial and Automatic Target Recognition


Dr. Wasfy B. Mikhael

Professor of Electrical and Computer Engineering
Director of Digital Signal Processing Laboratory
School Electrical Engineering and Computer Science
University of Central Florida
Orlando, FL 32816-2450
USA

Additional Authors:
Moataz M. Abdelwahab and Pradeep Ragothaman
 

Abstract: Novel transform domain formulations and implementations of PCA techniques will be given. It will be shown that this new approach results in considerable computational and storage savings while yielding very high accuracy. Useful applications such as Facial and Automatic Target Recognition are given confirming the considerable performance improvement.

Brief Biography of the Speaker:
Wasfy B. Mikhael (Fellow, IEEE, 1987, for contributions to hybrid and integrated filtering circuits and systems) is a Professor in the School of Electrical Engineering and Computer Science, University of Central Florida (UCF), Orlando. His research and teaching interests are in analog, digital, and adaptive signal processing for one and multidimensional signals and systems, with applications. His present work is in Wireless Communications, Automatic Target Recognition, Image and Speech compression, Classification and Recognition of speakers and facial images. He has more than 250 refereed publications, and holds several patents in the field. He serves on editorial boards, has chaired several international, IEEE and other, conferences, has served as VP for the IEEE Circuits and Systems Society, etc. He is currently the Chair of the Midwest Symposium on Circuits and Systems steering committee membership.

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