Strong Converse, Feedback Channel Capacity and Hypothesis Testing

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dc.contributor.authorChen, Po-Ningen_US
dc.contributor.authorAlajaji, Fadyen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:57:03Z
dc.date.available2007-05-23T09:57:03Z
dc.date.issued1994en_US
dc.description.abstractIn light of recent results by Verdu ad Han on channel capacity, we examine three problems: the strong converse condition to the channel coding theorem, the capacity of arbitrary channels with feedback and the Neyman-Pearson hypothesis testing type-II error exponent. It is first remarked that the strong converse condition holds if and only is the sequence of normalized channel information densities converges in probability to a constant. Examples illustrating this condition are also provided. A general formula for the capacity of arbitrary channels with output feedback is then obtained. Finally, a general expression for the Neyman-Pearson type-II exponent based on arbitrary observations subject to a constant bound on the type-I error probability is derived.en_US
dc.format.extent589786 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5538
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1994-65en_US
dc.subjectdetectionen_US
dc.subjectinformation theoryen_US
dc.subjectchannel capacityen_US
dc.subjectstrong converseen_US
dc.subjectfeedbacken_US
dc.subjectNeyman-Pearson hypothesis testingen_US
dc.subjectIntelligent Signal Processing en_US
dc.subjectCommunications Systemsen_US
dc.titleStrong Converse, Feedback Channel Capacity and Hypothesis Testingen_US
dc.typeTechnical Reporten_US

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