If you want an opening act for today's markoviana [Fwd: TODAY 2/11-Sensor Signal & Info Proc Seminar Series-1 PM-GWC487

[Subbarao Kambhampati <rao@asu.edu>]

Date: Fri, 11 Feb 2005 09:40:36 -0800
From: Andreas Spanias <spanias@asu.edu>
Subject: TODAY 2/11-Sensor Signal & Info Proc Seminar Series-1 PM-GWC487
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SENSOR SIGNAL AND INFORMATION PROCESSING (SenSip) SEMINAR SERIES

SPEAKER:                 Georgios B. Giannakis, University of Minnesota
DATE:                     February 11, 2005
PLACE/TIME:     GWC 487, 1:00 - 2:30 pm
TITLE:  Distributed Quantization-Estimation Using Wireless Sensor Networks

Abstract
Wireless sensor networks deployed to perform surveillance and monitoring tasks have to operate under stringent energy and bandwidth limitations. These motivate well distributed estimation scenarios where sensors quantize and transmit only one, or a few bits per observation, for use in forming parameter estimators of interest. We begin by analyzing interesting tradeoffs that emerge even in the simplest distributed setup of estimating a scalar location parameter in the presence of zero-mean additive white Gaussian noise of known variance. Later, we derive distributed estimators based on binary observations along with their fundamental error-variance limits for more pragmatic signal models: i) known univariate but generally non-Gaussian noise Probability density functions (pdfs); ii) known noise pdfs with a finite number of unknown parameters; iii) completely unknown noise pdfs; and iv) practical generalizations to multivariate and possibly correlated pdfs. Estimators utilizing either independent or colored binary observations are developed and analyzed. Corroborating simulations present comparisons with the clairvoyant sample-mean estimator based on unquantized sensor observations, and include a motivating application entailing distributed parameter estimation where a WSN is used for habitat monitoring. If time allows, we will also discuss dynamical systems and present Kalman Filtering ideas based on single-bit observations.

Biography
Georgios. B. Giannakis received his B.Sc. in 1981 from the National 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, which he has published more than 200 journal papers, 350 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. He is an IEEE Fellow since 1997 and has served the IEEE in various editorial and organizational posts.

Sponsors:
The FSE SenSip Cluster,
Department of Electrical Engineering,
IEEE SP-COM Chapter




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