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Area-Efficient Convolutional Deinterleaver for Mobile TV Receiver

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dc.contributor.authorKang, Hyeong-Ju-
dc.contributor.authorSeo, Heesuk-
dc.contributor.authorKwak, Jin-
dc.date.accessioned2021-08-12T01:25:00Z-
dc.date.available2021-08-12T01:25:00Z-
dc.date.issued2013-02-
dc.identifier.issn1539-9087-
dc.identifier.issn1558-3465-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/13931-
dc.description.abstractIn this article, a single-pointer structure is proposed for the convolutional deinterleavers of mobile TV receivers. To enhance the burst-error correcting capability, the convolutional interleaving and deinterleaving scheme is widely used in mobile TV receivers. However, a convolutional deinterleaver requires many pointer registers. This article introduces a single-pointer structure that reduces the number of pointer registers. Experimental results show that the single-pointer structure reduces the area of the convolutional deinterleaver by 70% in a mobile TV receiver.-
dc.language영어-
dc.language.isoENG-
dc.publisherAssociation for Computing Machinary, Inc.-
dc.titleArea-Efficient Convolutional Deinterleaver for Mobile TV Receiver-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1145/2423636.2423646-
dc.identifier.wosid000327432400010-
dc.identifier.bibliographicCitationTransactions on Embedded Computing Systems, v.12, no.2-
dc.citation.titleTransactions on Embedded Computing Systems-
dc.citation.volume12-
dc.citation.number2-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusINTERLEAVER-
dc.subject.keywordPlusSTANDARD-
dc.subject.keywordAuthorAlgorithms-
dc.subject.keywordAuthorDesign-
dc.subject.keywordAuthorPerformance-
dc.subject.keywordAuthorInterleaving-
dc.subject.keywordAuthorConvolutional Interleaving-
dc.subject.keywordAuthorDeinterleaver-
dc.subject.keywordAuthorMobile TV-
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