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Plenary Lecture

Complex Adaptive Signal Processing Employing Independent and Optimal Convergence Factors with Applications in Time-Varying Environments


Professor Wasfy B Mikhael
Fellow IEEE, and Raghuram Ranganathan
Professor of Electrical and Computer Engineering
Director of Digital Signal Processing Laboratory
School of Electrical Engineering and Computer Science
University of Central Florida
Orlando, Florida, 32816-2450
USA
E-mail: Mikhael@mail.ucf.edu


Abstract:
The increased usage of complex signal representations has necessitated the need for improved complex signal processing techniques. Complex adaptive signal processing techniques are presented, which independently adjust the real and imaginary components of the complex quantities, employing optimal convergence factors. Extensive simulations confirm the improved performance of the proposed methods, especially in dynamic scenarios. The effectiveness of these novel techniques will be illustrated in several applications.

 


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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