Information and Coding Theory Research
Prof. Alexander Barg
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| Dr. Alexander Barg |
Processing of digital data in a variety of noisy communication or storage systems involves modeling the noise as a sequence of independent bit flips in the data that occur with some small probability. The need to correct such errors in transmitted data arises in optical lines such as Internet, recoding systems, for instance, hard drives of a computer, information transmitted by space missions, etc.
Error-correcting coding deals with designing efficient methods for error correction in these and numerous other communication systems. Apart from data transmission systems, coding theory methods have also become increasingly popular in computer science and mathematics. They continue to be used in cryptographic applications such as secret sharing, data fingerprinting and watermarking for copyright protection, and public-key cryptosystems.
Some of the central problems of coding theory revolve around constructing encoding systems that enable one to transmit reliably over noisy channels, and evaluate the best possible performance attainable with coding schemes. My recent research work has revolved around these two subjects. In particular, I have constructed new families of error-correcting codes simple error correction procedures and high reliability of correct reception of the transmitted message, which are among the best-performing codes currently known. My work has been funded by the National Science Foundation, National Security Agency, and Interdigital Communications.
More Information:
Barg Wins NSF Grant for Applications of Coding Theory to Digital Circuit Design
Barg Gains NSF Grant to Study Point Allocations
 return to spotlight on research
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