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dc.contributor.authorKochman, Yuval
dc.contributor.authorOrdentlich, Or
dc.contributor.authorPolyanskiy, Yury
dc.date.accessioned2020-03-31T13:36:33Z
dc.date.available2020-03-31T13:36:33Z
dc.date.issued2018-08
dc.date.submitted2018-06
dc.identifier.isbn978-1-5386-4781-3
dc.identifier.isbn978-1-5386-4102-6
dc.identifier.issn2157-8117
dc.identifier.urihttps://hdl.handle.net/1721.1/124442
dc.description.abstractTwo problems, namely multiple-description source coding and joint source-channel broadcasting of a common source, are addressed. For the multiple-description problem, we revisit Ozarow's technique for establishing impossibility results, and extend it to general sources and distortion measures. For the problem of sending a source over a broadcast channel, we revisit the bounding technique of Reznik, Feder and Zamir, and extend it to general sources, distortion measures and broadcast channels. Although the obtained bounds do not improve over existing results in the literature, they are relatively easy to evaluate, and their derivation reveals the similarities between the two bounding techniques. ©2018 IEEEen_US
dc.description.sponsorshipNational Science Foundation CAREER Award (Grant CCF-12-53205)en_US
dc.description.sponsorshipNSF (Grant CCF-17-17842)en_US
dc.description.sponsorshipCenter for Science of Information, NSF (Grant agreement CCF-09-39370)en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/ISIT.2018.8437864en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleOzarow-type outer bounds for memoryless sources and channelsen_US
dc.typeArticleen_US
dc.identifier.citationKochman, Yuval, Or Ordentlich, and Yury Polyanskiy, "Ozarow-type outer bounds for memoryless sources and channels." 2018 IEEE International Symposium on Information Theory (ISIT 2018 Vail), Vail, Colorado, June 17-22, 2018 (Piscataway, N.J.: IEEE, 2018): doi 10.1109/ISIT.2018.8437864 ©2018 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalIEEE International Symposium on Information Theoryen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-01T18:05:05Z
dspace.date.submission2019-07-01T18:05:06Z
mit.journal.volume2018en_US
mit.metadata.statusComplete


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