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dc.contributor.authorChung, Hye Won
dc.contributor.authorZheng, Lizhong
dc.contributor.authorSadler, Brian M.
dc.contributor.authorHero, Alfred O.
dc.date.accessioned2021-11-08T15:56:33Z
dc.date.available2021-11-08T15:56:33Z
dc.date.issued2016-07
dc.identifier.urihttps://hdl.handle.net/1721.1/137691
dc.description.abstract© 2016 IEEE. In this paper, we propose an unequal error protection coding strategy based on superposition coding for the noisy 20 questions problem. In this problem, a player wishes to successively refine an estimate of the value of a continuous random variable by posing binary queries and receiving noisy responses. When the queries are designed non-adaptively as a single block and the noisy responses are modeled as the output of a binary symmetric channel the 20 questions problem can be mapped to an equivalent problem of channel coding with unequal error protection (UEP). A superposition coding strategy with UEP is introduced that has error exponent that is significantly better than that of the UEP repetition code introduced by Variani et al. [1].en_US
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/isit.2016.7541589en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceother univ websiteen_US
dc.titleUnequal error protection coding approaches to the noisy 20 questions problemen_US
dc.typeArticleen_US
dc.identifier.citationChung, Hye Won, Zheng, Lizhong, Sadler, Brian M. and Hero, Alfred O. 2016. "Unequal error protection coding approaches to the noisy 20 questions problem."
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.updated2019-07-08T18:11:16Z
dspace.date.submission2019-07-08T18:11:17Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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