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dc.contributor.advisorYury Polyanskiy.en_US
dc.contributor.authorYoung, Andrew John, S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2015-11-09T19:51:36Z
dc.date.available2015-11-09T19:51:36Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/99830
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 73-74).en_US
dc.description.abstractTraditional 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.en_US
dc.description.statementofresponsibilityby Andrew John Young.en_US
dc.format.extent74 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleCombinatorial joint source-channel codingen_US
dc.title.alternativeCombinatorial JSCCen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc927348900en_US


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