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Generalized source coding theorems and hypothesis testing: Part II - Operational limits

dc.citation.epage303en_US
dc.citation.issue3en_US
dc.citation.spage293en_US
dc.citation.volume21en_US
dc.citation.woscount0
dc.contributor.authorChen, PNen_US
dc.contributor.authorAlajaji, Fen_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.date.accessioned2014-12-08T15:49:08Z
dc.date.available2014-12-08T15:49:08Z
dc.date.issued1998-05-01en_US
dc.description.abstractIn light of the information measures introduced in Part I, a generalized version of the Asymptotic Equipartition Property (AEP) is proved, General fixed-length data compaction and data compression (source coding) theorems for arbitrary finite-alphabet sources are also established, Finally, the general expression of the Neyman-Pearson type-II error exponent subject to upper bounds on the type-I error probability is examined.en_US
dc.identifier.issn0253-3839en_US
dc.identifier.journalJOURNAL OF THE CHINESE INSTITUTE OF ENGINEERSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/32650
dc.identifier.wosnumberWOS:000074038300005
dc.language.isoen_USen_US
dc.subjectShannon theoryen_US
dc.subjectAEPen_US
dc.subjectsource coding theoremsen_US
dc.subjecthypothesis testingen_US
dc.subjectNeyman-Pearson error exponenten_US
dc.titleGeneralized source coding theorems and hypothesis testing: Part II - Operational limitsen_US
dc.typeArticleen_US

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