|
Professor Alexander Barg (ECE/ISR) is the principal investigator for a new NSF grant, Ordered Metrics and Their Applications. The three-year, $472K grant will fund research into the properties and applications of polar codes for communication systems.
Polar codes are a new method of coding information for transmission over noisy channels that for the first time realizes the full potential of Shannon?s theorems related to data rate and transmission reliability. Polar codes have been shown to advance a range of classical and new information-theoretic problems that rely on efficient encoding of the data.
Barg?s project addresses the properties of polar codes in nonbinary communication channels, the design of optimal polarizing transformations, and applications to unequal error protection, hierarchical source coding, broadcast channels, signal design, and other problems of importance for network communication.
His analysis relies on the concept of ordered distances that have been shown to control the reliability of transmitted symbols on nonbinary channels. Ordered distances contribute new ideas to the study of linear codes and related concepts such as multipartite and hierarchical secret sharing schemes. The project draws on these ideas to study new algebraic polarization transformations as well as the advances in the theory of linear code-based constructions for a number of models of practical communication systems.
Related Articles:
Alexander Barg awarded NSF grant to develop genotyping theory
Five Clark School authors part of new 'Age of Information' book
Ye, Barg win IEEE Data Storage Best Paper Award
Barg is principal investigator for new NSF information recovery award
Alexander Barg receives NSF grant to study theoretic aspects of local data recovery
Barg receives NSF grant to develop better methods of storing large amounts of data
Alum Ara Mazumdar begins position at University of Minnesota
Martins wins IEEE Control Systems Society award
Arya Mazumdar wins information theory student paper prize
Alexander Barg receives NSF grant for improving error-correcting coding
October 15, 2012
|
