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TITLE:
Some Aspects of Robustness in Channel Coding
SPEAKER: Michael Gastpar (UC Berkeley)
DATE: 2:00 - 3:00 PM, Thursday, August 2, 2007
LOCATION: Sigma, 1L
ABSTRACT:
Noisy channels are usually thought of as random. However, in
some of the key future applications, such as cognitive radio, channels
may be subject to interference that cannot be modeled as random noise.
Therefore, it is crucial to understand less favorable models. In this
talk, we consider three models: AVCs, "nosy noise," and individual
sequences. Additional resources are necessary to deal with them, and we
will specifically consider common randomness (between encoder and
decoder) and feedback, with the goal of minimizing the use of these
resources. This is enabled in part by a novel list code construction.
This is mostly based on joint work with Anand Sarwate, and in some parts
with Krishnan Eswaran and Anant Sahai.
BIOGRAPHY:
Michael Gastpar (Ph.D. EPFL, 2002, M.S. UIUC, 1999, Dipl.
El-Ing, ETH, 1997) has been an assistant professor at the University of
California, Berkeley, since January 2003. He was also a student in
electrical engineering and philosophy at the Universities of Edinburgh
and Lausanne, and a summer researcher in the Mathematics of
Communications Department at Bell Labs, Lucent Technologies. He won the
2002 EPFL Best Thesis Award, and an NSF CAREER award in 2004.
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