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Saddlepoint Approximation of the Error Probability of Binary Hypothesis Testing

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)es
dc.contributor.authorVázquez Vilar, Gonzalo
dc.contributor.authorGuillén i Fàbregas, Albert
dc.contributor.authorKoch, Tobias Mirco
dc.contributor.authorLancho Serrano, Alejandro
dc.date.accessioned2018-10-03T12:42:22Z
dc.date.available2018-10-03T12:42:22Z
dc.date.issued2018-08-16
dc.description.abstractWe propose a saddlepoint approximation of the error probability of a binary hypothesis test between two i.i.d. distributions. The approximation is accurate, simple to compute, and yields a unified analysis in different asymptotic regimes. The proposed formulation is used to efficiently compute the meta-converse lower bound for moderate block-lengths in several cases of interest.en
dc.description.sponsorshipThis work has been funded in part by the European Research Council (ERC) under grants 714161 and 725411, by the Spanish Ministry of Economy and Competitiveness under grants TEC2013-41718-R, RYC-201416332, IJCI-2015-27020 and TEC2016-78434-C3 (AEI/FEDER, EU), by the Madrid Autonomous Community under grant S2103/ICE-2845 and by the Spanish Ministry of Education, Culture and Sport under grant FPU14/01274.en
dc.format.extent5es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018, Vail, Colorado, USA. [Proceedings], 5 p.en
dc.identifier.isbn978-1-5386-4780-6
dc.identifier.issn2157-8117
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage5es
dc.identifier.publicationtitleIEEE International Symposium on Information Theory (ISIT 2018) [Proceedings]en
dc.identifier.urihttps://hdl.handle.net/10016/27525
dc.identifier.uxxiCC/0000027956
dc.language.isoengen
dc.publisherIEEEes
dc.relation.eventdate2018-06-17es
dc.relation.eventplaceVail., Colorado, USAen
dc.relation.eventtitleIEEE International Symposium on Information Theory (ISIT 2018)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/714161en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/725411en
dc.relation.projectIDGobierno de España. TEC2013-41718-Res
dc.relation.projectIDGobierno de España. RYC-2014-16332es
dc.relation.projectIDGobierno de España. IJCI-2015-27020es
dc.relation.projectIDGobierno de España. TEC2016-78434-C3 (AEI/FEDER, EU)es
dc.relation.projectIDGobierno de España. FPU14/01274es
dc.relation.projectIDComunidad de Madrid. S2103/ICE-2845es
dc.rights© 2018 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherError probabilityen
dc.subject.otherTestingen
dc.subject.otherRandom variablesen
dc.subject.otherAWGN channelsen
dc.subject.otherLaplace equationsen
dc.subject.otherGaussian distributionen
dc.titleSaddlepoint Approximation of the Error Probability of Binary Hypothesis Testingen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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