Conference paper Open Access
Klaimi, Rami; Abdel Nour, Charbel; Douillard, Catherine; Farah, Joumana
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://zenodo.org/record/2579623</identifier> <creators> <creator> <creatorName>Klaimi, Rami</creatorName> <givenName>Rami</givenName> <familyName>Klaimi</familyName> <affiliation>IMT Atlantique, Lab-STICC, UBL, F-29238 Brest, France</affiliation> </creator> <creator> <creatorName>Abdel Nour, Charbel</creatorName> <givenName>Charbel</givenName> <familyName>Abdel Nour</familyName> <affiliation>IMT Atlantique, Lab-STICC, UBL, F-29238 Brest, France</affiliation> </creator> <creator> <creatorName>Douillard, Catherine</creatorName> <givenName>Catherine</givenName> <familyName>Douillard</familyName> <affiliation>IMT Atlantique, Lab-STICC, UBL, F-29238 Brest, France</affiliation> </creator> <creator> <creatorName>Farah, Joumana</creatorName> <givenName>Joumana</givenName> <familyName>Farah</familyName> <affiliation>Department of Electricity and Electronics, Faculty of Engineering Lebanese University, Roumieh, Lebanon</affiliation> </creator> </creators> <titles> <title>Design of Low-Complexity Convolutional Codes over GF(q )</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <subjects> <subject>Finite field,</subject> <subject>non-binary codes,</subject> <subject>recursive systematic convolutional codes,</subject> <subject>coded modulation,</subject> <subject>turbo codes.</subject> </subjects> <dates> <date dateType="Issued">2018-12-09</date> </dates> <resourceType resourceTypeGeneral="Text">Conference paper</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2579623</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/GLOCOM.2018.8647824</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/epic_h2020</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This paper proposes a new family of recursive systematic convolutional codes, defined in the non-binary Domain over different Galois fields GF(q) and intended to be used as component codes for the design of non-binary turbo codes. A general framework for the design of the best codes over different GF(q) is described. The designed codes offer better performance than the non-binary convolutional codes found in the literature. They also outperform their binary counterparts when combined with their corresponding QAM modulation or with lower order modulations.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/760150/">760150</awardNumber> <awardTitle>Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding</awardTitle> </fundingReference> </fundingReferences> </resource>
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