Saddlepoint approximations of lower and upper bounds to the error probability in channel coding

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dc.contributor.author Font Segura, Josep
dc.contributor.author Vázquez Vilar, Gonzalo
dc.contributor.author Martínez, Alfonso
dc.contributor.author Guillén I Fàbregas, Albert
dc.contributor.author Lancho Serrano, Alejandro
dc.date.accessioned 2019-09-20T09:10:13Z
dc.date.available 2019-09-20T09:10:13Z
dc.date.issued 2018-03-21
dc.identifier.bibliographicCitation Font-Segura, J., Vazquez-Vilar, G., Martínez, A., Guillén i Fàbregas, A. y Lancho, A. (2018). Saddlepoint approximations of lower and upper bounds to the error probability in channel coding. In 2018 52nd Annual Conference on Information Sciences and Systems (CISS)
dc.identifier.isbn 978-1-5386-0579-0
dc.identifier.uri http://hdl.handle.net/10016/28846
dc.description This paper has been presented at: 52nd Annual Conference on Information Sciences and Systems (CISS)
dc.description.abstract Saddlepoint approximations of the meta-converse and random-coding union bounds are derived. These bounds accurately characterize the channel coding minimum error probability for symmetric memoryless channels in a wide range of system parameters. The proposed approximations are simple to compute and yield a unified analysis of both hypothesis-testing lower bounds and random-coding upper bounds.
dc.description.sponsorship This work has been funded in part by the European Research Council under ERC grant agreement 725411, by the Spanish Ministry of Economy and Competitiveness under grants TEC2013-41718-R, FJCI-2014-22747, IJCI-2015-27020, and TEC2016-78434-C3 (AEI/FEDER, EU), and by the Spanish Ministry of Education, Culture and Sport under grant FPU14/01274.
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2019 IEEE.
dc.title Saddlepoint approximations of lower and upper bounds to the error probability in channel coding
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/CISS.2018.8362304
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/ERC/H2020/725411
dc.relation.projectID Gobierno de España. TEC2013-41718-R
dc.relation.projectID Gobierno de España. FJCI-2014-22747
dc.relation.projectID Gobierno de España. IJCI-2015-27020
dc.relation.projectID Gobierno de España. TEC2016-78434-C3
dc.relation.projectID Gobierno de España. FPU14/01274
dc.type.version acceptedVersion
dc.relation.eventdate 21-23 March 2018
dc.relation.eventplace Princeton, NJ, USA
dc.relation.eventtitle 52nd Annual Conference on Information Sciences and Systems (CISS)
dc.relation.eventtype proceeding
dc.identifier.publicationtitle 2018 52nd Annual Conference on Information Sciences and Systems (CISS)
dc.identifier.uxxi CC/0000029965
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Ministerio de Educación, Cultura y Deporte (España)
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