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TCE Guest Lecture: Estimation of Spatially Correlated Random Fields in Heterogeneous Wireless Sensor Networks
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Ido Nevat (Institute for Infocomm Research (I2R), Singapore)
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Tuesday, 11.11.2014, 13:00
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EE Meyer Building 1061
digital sensors) wireless sensor networks (WSNs). The spatial physical phenomena are observed by a heterogeneous WSN, meaning that it partially consists of analog sensors and partially of digital sensors. The analog sensors transmit their (continuous) noisy observations to the Fusion Centre (FC), while the digital sensors first perform a simple thresholding and then transmit their binary values over imperfect wireless channels to the FC. The resulting observations are mixed continuous and discrete (1-bit decisions) values, and are combined in the FC to solve the inference problems. I will present novel algorithms to solve the aforementioned problems that are based on a multivariate series expansion approach resulting in a Saddle-point type approximation.

Ido Nevat received the B.Sc in Electrical Engineering from the Technion, Israel Institute of Technology in 1998, and the Ph.D. in Electrical Engineering from UNSW in Sydney, Australia in 2010. From 2010 to 2013 he was a research fellow at the ICT centre at the CSIRO in Sydney, Australia. Ido is currently a scientist with the Sense and Sense-abilities National Initiative Program at I2R. Ido's research interests are statistical modelling, statistical signal processing, wireless communications and sensor networks
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