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dc.contributor.authorChang, Ling-Huaen_US
dc.contributor.authorWangl, Carolen_US
dc.contributor.authorChen, Po-Ningen_US
dc.contributor.authorHant, Yunghsiang S.en_US
dc.contributor.authorTang, Vincent Y. F.en_US
dc.date.accessioned2018-08-21T05:57:05Z-
dc.date.available2018-08-21T05:57:05Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn2475-420Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/147037-
dc.description.abstractIn this paper, an exact distance spectrum formula for the largest minimum Hamming distance of finite-length binary block codes is presented. The exact formula indicates that the largest minimum distance of finite-length block codes can be fully characterized by the information spectrum of the Hamming distance between two independent and identically distributed (i.i.d.) random codewords. The distance property of finite-length block codes is then connected to the distance spectrum. A side result of this work is a new lower bound to the largest minimum distance of finite-length block codes. Numerical examinations show that the new lower bound improves the finite-length Gilbert-Varshamov lower bound and can reach the minimum distance of existing finite-length block codes.en_US
dc.language.isoen_USen_US
dc.titleDistance Spectrum Formula for the Largest Minimum Hamming Distance of Finite-Length Binary Block Codesen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 IEEE INFORMATION THEORY WORKSHOP (ITW)en_US
dc.citation.spage419en_US
dc.citation.epage423en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000426901500085en_US
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