Combinatorial joint source-channel coding

• Main Author: Young, Andrew John, S.M. Massachusetts Institute of Technology
• Other Authors: Yury Polyanskiy.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2015
• Subjects: Electrical Engineering and Computer Science.
• Online Access: http://hdl.handle.net/1721.1/99830

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 73-74). === Traditional error correction and source coding has focused on the stochastic setting where separation based schemes are optimal, and current solutions for applications requiring both lossy compression and noise resilience reflect this approach. However, in the adversarial setting, with worst case errors, separation based schemes are far from being even asymptotically optimal. This work investigates fundamental limits, achievability and converse bounds, practical codes, and algorithms for joint source channel coding (JSCC) in the adversarial setting. Particular attention is paid to the cases of flip and erasure errors. === by Andrew John Young. === S.M.