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dc.contributor.authorGöken, C.en_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.date.accessioned2016-02-08T10:00:08Z
dc.date.available2016-02-08T10:00:08Z
dc.date.issued2010en_US
dc.identifier.issn1089-7798
dc.identifier.urihttp://hdl.handle.net/11693/22442
dc.description.abstractIn this letter, joint optimization of signal structures and detectors is studied for binary communications systems under average power constraints in the presence of additive non-Gaussian noise. First, it is observed that the optimal signal for each symbol can be characterized by a discrete random variable with at most two mass points. Then, optimization over all possible two mass point signals and corresponding maximum a posteriori probability (MAP) decision rules are considered. It is shown that the optimization problem can be simplified into an optimization over a number of signal parameters instead of functions, which can be solved via global optimization techniques, such as particle swarm optimization. Finally, the improvements that can be obtained via the joint design of the signaling and the detector are illustrated via an example.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Communications Lettersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/LCOMM.2010.02.091875en_US
dc.subjectMAP decision ruleen_US
dc.titleOptimal signaling and detector design for power-constrained binary communications systems over non-Gaussian channelsen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage100en_US
dc.citation.epage102en_US
dc.citation.volumeNumber14en_US
dc.citation.issueNumber2en_US
dc.identifier.doi10.1109/LCOMM.2010.02.091875en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorArıkan, Orhan
dc.contributor.bilkentauthorGezici, Sinan


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