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dc.contributor.authorDauwels, Justin H. G.
dc.contributor.authorKurkoski, Brian M.
dc.contributor.authorLoeliger, Hans-Andrea
dc.date.accessioned2010-10-22T18:55:16Z
dc.date.available2010-10-22T18:55:16Z
dc.date.issued2009-08
dc.date.submitted2009-06
dc.identifier.isbn978-1-4244-4312-3
dc.identifier.otherINSPEC Accession Number: 10841986
dc.identifier.urihttp://hdl.handle.net/1721.1/59482
dc.description.abstractAn explicit code construction for using low-density lattice codes (LDLC) on the constrained power AWGN channel is given. LDLC lattices can be decoded in high dimension, so that the code relies on the Euclidean distance between codepoints. A sublattice of the coding lattice is used for code shaping. Lattice codes are designed using the continuous approximation, which allows separating the contribution of the shaping region and coding lattice to the total transmit power. Shaping and lattice decoding are both performed using a belief-propagation decoding algorithm. At a rate of 3 bits per dimension, a dimension 100 code which is 3.6 dB from the sphere bound is found.en_US
dc.description.sponsorshipKing Baudouin Foundation United Statesen_US
dc.description.sponsorshipBelgian American Educational Foundation, inc.en_US
dc.description.sponsorshipJapan. Ministry of Education, Culture, Sports, Science and Technology (Grant-in-Aid for Scientific Research (C) number 19560371)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISIT.2009.5205635en_US
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_US
dc.sourceIEEEen_US
dc.titlePower-constrained communications using LDLC latticesen_US
dc.typeArticleen_US
dc.identifier.citationDauwels, J., H.-A. Loeliger, and B.M. Kurkoski. “Power-constrained communications using LDLC lattices.” Information Theory, 2009. ISIT 2009. IEEE International Symposium on. 2009. 739-743. ©2009 Institute of Electrical and Electronics Engineers.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverDauwels, Justin H. G.
dc.contributor.mitauthorDauwels, Justin H. G.
dc.relation.journalIEEE International Symposium on Information Theory, 2009. ISIT 2009.en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKurkoski, Brian M.; Dauwels, Justin; Loeliger, Hans-Andreaen
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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