IEEE Gainesville Section and Department of Electrical and Computer Engineering presents 


Dimensionality Reduction and Distortion-Rate Analysis for Distributed 
Estimation with Wireless Sensor Networks 


GEORGIOS B. GIANNAKIS, ADC Chair in Wireless Telecommunications
Department of Electrical and Computer Engineering
University of  Minnesota 

11:40-12:40pm, Wednesday, September 21, 2005 
310 Larsen Hall 


Abstract

Wireless sensor networks deployed to perform surveillance and monitoring
tasks have to operate under stringent energy and bandwidth limitations.
These motivate well distributed compression and estimation scenarios based
on reduced dimensionality sensor observations which may have to be severely
quantized before transmission to a fusion center. We will show how canonical
correlation analysis can be used to compress observations and explore the
fundamental performance limits dictated by distortion-rate analysis in this
decentralized estimation setup. We will further present interesting
tradeoffs that emerge even in distributed mean-location estimation based on
severely quantized observations along with their fundamental error-variance
limits. Corroborating simulations will provide comparisons with the
clairvoyant estimators based on unquantized sensor observations, and will
include a motivating application with a sensor net employed for habitat
monitoring. If time allows, we will also discuss dynamical systems and
present (extended) Kalman Filtering ideas based on single-bit observations. 


Biography

G. B. Giannakis received his B.Sc. in 1981 from the Ntl. Tech. Univ. of
Athens, Greece and his M.Sc. and Ph.D. in Electrical Engineering in 1983 and
1986 from the Univ. of Southern California. Since 1999 he has been a
professor with the Department of Electrical and Computer Engineering at the
University of Minnesota, where he now holds an Endowed ADC Chair in Wireless
Telecommunications. His general interests span the areas of communications 
and signal processing, estimation and detection theory -- subjects on which 
he has published more than 225 journal papers, 375 conference papers, and two
edited books. Current research focuses on complex-field and space-time
coding, multicarrier, ultra-wide band wireless communication systems,
cross-layer designs and distributed sensor networks. He is the (co-)
recipient of six best paper awards from the IEEE Signal Processing (SP) and
Communications Societies (1992, 1998, 2000, 2001, 2003, 2004) and also
received the SP Society's Technical Achievement Award in 2000 as well as the
EURASIP Technical Achievement Award in 2005. He is an IEEE Fellow since 1997
and has served the IEEE in various editorial and organizational posts.

If you need further information, please contact Dr. Liuqing Yang at 
352-392-9469 or lqyang@ece.ufl.edu.