Keynote I:
COPULAS AND THEIR APLICATIONS IN SIGNAL AND IMAGE PROCESSING
Professor Tariq S Durrani
Centre for excellence in Signal & Image Processing
University of Strathclyde
George Street Glasgow Scotland UK
durrani@strath.ac.uk
ABSTRACT
A key requirement in signal processing applications is the tie up or dependency between two or more random variables, which manifests itself as the need to analyse the correlation between them. A more detailed description of the dependency structure between several random variables than the correlation function is provided by copulas, as they represent multi-dimensional functions that link the marginal probability distribution (and density) functions of random variables to their joint probability distributions (and density) functions. Through this linkage, copulas offer interesting insights into the dependence structures between random variables.
Copulas have found favour in financial data processing for assessing, amongst other areas, the risk/rewards based on the analysis of stock market data, and data associated with seismic analysis.This presentation will give a background to copulas, and their families. Introduce their applications to mutual information and divergence studies, including a study on families of divergence measures; and extend the work to explore the application of copulas to image processing, image registration.
BIOGRAPHY
Professor Tariq S Durrani received his BEng (Hons) in 1965 from the Engineering University, Bangladesh, and MSc and PhD degrees in 1967 and 1970 respectively, from the University of Southampton. After postdoctoral research at Southampton, he joined the University of Strathclyde, Glasgow, as a Lecturer in 1976, and was appointed Professor in 1982. He was Head of the Department of Electronic and Electrical Engineering from 1986 to 1990 and Special Advisor to the Principal, on Information Technology, from 1990 to 1994. From 2000-2006 he was Deputy Principal responsible for Staff Development, Centre for Lifelong Learning and the University’s IT and computing infrastructure.
His research interests are in the areas of Signal and Image Processing and Technology Management and Higher Education Management.
He is active in professional circles. He was the 2006-2007 President of the IEEE Engineering Management Society, and is a Past President of the IEEE Signal Processing Society. He is the Vice President of the Royal Society of Edinburgh (RSE). The RSE is Scotland’s National Academy for Science and Letters.
He has been the 2010-11 Vice President of the IEEE Educational Activities Board, and is a Director for Physical Sciences and Engineering for the UK National Commission for UNESCO.
He is a Fellow of the Royal Society of Edinburgh, the Royal Academy of Engineering, IEEE, IET and the TWAS -The World Academy of Sciences. He was awarded the OBE in the Queen’s Honours List in December 2002 for services to higher education and electronics research.
Keynote II:
Spectrum Efficient Waveform Design with Application to Wireless Networks
Qilian Liang
Department of Electrical Engineering
University of Texas at Arlington
Arlington, TX 76019 USA
E-mail: liang@uta.edu
ABSTRACT
The radio spectrum is a finite but exceedingly valuable natural resource that facilitates a tremendous variety of applications and services. Spectrum efficiency refers to the information rate that can be transmitted over a given bandwidth in a specific communication system. It is a measure of how efficiently a limited frequency spectrum is utilized by the physical layer protocol.
In this talk, we propose innovative spectrum efficient waveform designs which have narrower mainlobe and lower sidelobe in spectrum based on nested sampling and co-prime sampling. TheCo-Prime and Nested Samplers can be used to sample a wide-sense stationary signal sparsely, and then reconstruct the autocorrelation. Its applications are very limited so far, which only includes beamforming and direction finding and systems identification. We observe that it could be applied to spectrum efficient waveform design. Subsequently we apply the spectrum efficient waveform design to hybrid wireless networks. Theoretical analysis shows that wireless network capacities are highly increased and the outage probabilities are reduced.
BIOGRAPHY
Qilian Liang is a Professor at the Department of Electrical Engineering, University of Texas at Arlington (UTA). He received the Ph.D degree in Electrical Engineering from University of Southern California (USC) in 2000. Prior to joining the faculty of the University of Texas at Arlington in August 2002, he was a Member of Technical Staff in Hughes Network Systems Inc at San Diego, California. His current research interests include wireless communications, radar sensor networks, wireless sensor networks, wireless networks, signal processing for communications, etc. Dr. Liang has published more than 250 journal and conference papers and 7 book chapters. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S. Office of Naval Research (ONR) Young Investigator Award, 2005 UTA College of Engineering Outstanding Young Faculty Award, 2007, 2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award, 2012 UTA College of Engineering Excellence in Research Award, and 2013 UTA Outstanding Research Achievement Award.
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