Turbo product codes based on convolutional codes
dc.contributor.author | Gazi, Orhan | |
dc.contributor.author | Yılmaz, Ali Özgür | |
dc.contributor.authorID | 102896 | tr_TR |
dc.contributor.authorID | 111575 | tr_TR |
dc.date.accessioned | 2016-03-31T11:31:39Z | |
dc.date.available | 2016-03-31T11:31:39Z | |
dc.date.issued | 2006 | |
dc.department | Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği | en_US |
dc.description.abstract | In this article, we introduce a new class of product codesbased on convolutional codes, called convolutional product codes. The structure of product codes enables parallel decoding, which can significantly increase decoder speed in practice. The use of convolutional codes in a product code setting makes it possible to use the vast knowledge base for convolutional codes as well as their flexibility in fast parallel decoders. Just as in turbo codes, interleaving turns out to be critical for the performance of convolutional product codes. The practical decoding advantages over serially-concatenated convolutional codes are emphasized. | en_US |
dc.description.publishedMonth | 8 | |
dc.identifier.citation | Gazi, O., Yılmaz, A.O., (2006). Turbo product codes based on convolutional codes. Etri Journal, 28(4), 453-460. http://dx.doi.org/10.4218/etrij.06.0105.0187 | en_US |
dc.identifier.doi | 10.4218/etrij.06.0105.0187 | |
dc.identifier.endpage | 460 | en_US |
dc.identifier.issn | 1225-6463 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 453 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12416/794 | |
dc.identifier.volume | 28 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Electronics Telecommunications Research Inst | en_US |
dc.relation.ispartof | Etri Journal | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Iterative Decoding | en_US |
dc.subject | Convolutional Product Codes | en_US |
dc.subject | Interleaving | en_US |
dc.subject | Puncturing | en_US |
dc.title | Turbo product codes based on convolutional codes | tr_TR |
dc.title | Turbo Product Codes Based on Convolutional Codes | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 9a1d72fb-4471-4591-983a-187d09c97801 | |
relation.isAuthorOfPublication.latestForDiscovery | 9a1d72fb-4471-4591-983a-187d09c97801 |
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