Polarization methods in coding and compressed sensing

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• Emmanuel Abbe
• Friday 11 November 2011, 11:00-12:00
• Room 611.

If you have a question about this talk, please contact Lauren E Noto.

The polarization method has recently emerged in coding theory as a new powerful tool. The codes resulting from this method are the first codes to provably achieve the capacity of discrete memoryless channels with an explicit low-complexity construction. We review in this talk the basic idea behind polarization and its applications to channel and source coding. We then discuss a new polarization result for analogue sources, and show how this framework can be used to construct efficient sensing matrices for bio-medical signals.

Bio: Emmanuel Abbe obtained his PhD from the EECS department at MIT , completing his thesis in the Laboratory for Information and Decision Systems. He previously obtained his B.S. and M.S. in the Mathematics Department at EPFL , receiving the CVCI Prize for his master thesis in statistics. He is currently a postdoctoral fellow and lecturer in the School of Communication and Computer Sciences at EPFL , and a research affiliate at MIT . His research interests are in information and coding theory, theoretical computer science and statistical signal processing. In 2011, Emmanuel Abbe has been awarded with the “Fondation Latsis Internationale Prize”, distinguishing a scientific work of particular excellence from all EPFL research areas.

This talk is part of the COMMSP Seminar series.

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