Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/25501
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dc.contributor.authorNapp, Diegopt_PT
dc.contributor.authorPinto, Raquelpt_PT
dc.contributor.authorToste, Marisapt_PT
dc.date.accessioned2019-03-07T11:07:15Z-
dc.date.available2019-03-07T11:07:15Z-
dc.date.issued2019-02-
dc.identifier.issn0018-9448pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/25501-
dc.description.abstractMaximum distance profile codes over finite nonbinary fields have been introduced and thoroughly studied in the last decade. These codes have the property that their column distances are maximal among all codes of the same rate and degree. In this paper, we aim at studying this fundamental concept in the context of convolutional codes over a finite ring. We extensively use the concept of p-encoder to establish the theoretical framework and derive several bounds on the column distances. In particular, a method for constructing (not necessarily free) maximum distance profile convolutional codes over Zpr is presented.pt_PT
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147206/PTpt_PT
dc.relationUID/MAT/04106/2019pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectConvolutional codespt_PT
dc.subjectFinite ringpt_PT
dc.subjectColumn distancespt_PT
dc.subjectMaximum distance profilept_PT
dc.titleColumn distances of convolutional codes over Z_p^rpt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage1063pt_PT
degois.publication.issue2pt_PT
degois.publication.lastPage1071pt_PT
degois.publication.titleIEEE Transactions on Information Theorypt_PT
degois.publication.volume65pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8466807pt_PT
dc.identifier.doi10.1109/TIT.2018.2870436pt_PT
dc.identifier.essn1557-9654pt_PT
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SCG - Artigos

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