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dc.contributor.authorAbbe, Emmanuel A.
dc.contributor.authorZheng, Lizhong
dc.date.accessioned2010-04-06T20:04:10Z
dc.date.available2010-04-06T20:04:10Z
dc.date.issued2009-08
dc.identifier.isbn978-1-4244-4312-3
dc.identifier.otherINSPEC Accession Number: 10842070
dc.identifier.urihttp://hdl.handle.net/1721.1/53521
dc.description.abstractThis paper shows that the capacity achieving input distribution for a fading Gaussian broadcast channel is not Gaussian in general. The construction of non-Gaussian distributions that strictly outperform Gaussian ones, for certain characterized fading distributions, is provided. The ability of analyzing non-Gaussian input distributions with closed form expressions is made possible in a local setting. It is shown that there exists a specific coordinate system, based on Hermite polynomials, which parametrizes Gaussian neighborhoods and which is particularly suitable to study the entropic operators encountered with Gaussian noise.en
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISIT.2009.5205789en
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en
dc.sourceIEEEen
dc.titleCoding along hermite polynomials for gaussian noise channelsen
dc.typeArticleen
dc.identifier.citationAbbe, E.A., Lizhong Zheng, "Coding along Hermite polynomials for Gaussian noise channels," Information Theory, 2009. ISIT 2009. IEEE International Symposium on, pp.1644-1648, June 28 2009-July 3 2009. © 2009 Institute of Electrical and Electronics Engineers.en
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverZheng, Lizhong
dc.contributor.mitauthorZheng, Lizhong
dc.relation.journalIEEE International Symposium on Information Theory, 2009. ISIT 2009en
dc.eprint.versionFinal published versionen
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsAbbe, Emmanuel A.; Zheng, Lizhongen
dc.identifier.orcidhttps://orcid.org/0000-0002-6108-0222
mit.licensePUBLISHER_POLICYen
mit.metadata.statusComplete


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