Joint detection and decoding in the presence of prior information with uncertainty

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buir.contributor.authorGezici, Sinan
dc.citation.epage1606en_US
dc.citation.issueNumber11en_US
dc.citation.spage1602en_US
dc.citation.volumeNumber23en_US
dc.contributor.authorBayram, S.en_US
dc.contributor.authorDulek, B.en_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2018-04-12T10:42:58Z
dc.date.available2018-04-12T10:42:58Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAn optimal decision framework is proposed for joint detection and decoding when the prior information is available with some uncertainty. The proposed framework provides tradeoffs between the average inclusive error probability (computed using estimated prior probabilities) and the worst case inclusive error probability according to the amount of uncertainty while satisfying constraints on the probability of false alarm and the maximum probability of miss-detection. Theoretical results that characterize the structure of the optimal decision rule according to the proposed criterion are obtained. The proposed decision rule reduces to some well-known detectors in the case of perfect prior information or when the constraints on the probabilities of miss-detection and false alarm are relaxed. Numerical examples are provided to illustrate the theoretical results. © 2016 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T10:42:58Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/LSP.2016.2611650en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/36517
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/LSP.2016.2611650en_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.subjectBayesen_US
dc.subjectDecodingen_US
dc.subjectDetectionen_US
dc.subjectNeyman-Pearsonen_US
dc.titleJoint detection and decoding in the presence of prior information with uncertaintyen_US
dc.typeArticleen_US

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