Enhanced Error Correction via Language Processing

Abstract: There are two fundamental approaches for error correction. One approach is to add external redundancy to data. The other approach is to use the redundancy inside data, even if it is only the residual redundancy after a data compression algorithm. The first approach, namely error-correcting codes (ECCs), has been studied actively over the past seventy years. In this work, we explore the second approach, and show that it can substantially enhance the error-correction performance.

Bio: Anxiao (Andrew) Jiang is an Associate Professor in the Computer Science and Engineering Department at Texas A&M University in College Station, Texas. His research interests include information theory, data storage, networks and algorithm design. Prof. Jiang is a recipient of the NSF CAREER Award in 2008 for his research on information theory for flash memories and a recipient of the 2009 IEEE Communications Society Best Paper Award in Signal Processing and Coding for Data Storage.