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Scheme for Utilizing the Soft Feedback Information in Bit-Patterned Media Recording Systems

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dc.contributor.authorChi Dinh Nguyen-
dc.contributor.authorLee, Jaejin-
dc.date.available2018-05-08T14:45:57Z-
dc.date.created2018-04-17-
dc.date.issued2017-03-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/6440-
dc.description.abstractThis paper presents a scheme that utilizes soft feedback information obtained from a decoder to eliminate detrimental interference in bit-patterned media recording (BPMR) systems. BPMR is a promising technology that can increase the storage area density of magnetic storage systems, but one of the main challenges is to overcome 2-D spatial interference. The performance of the proposed scheme is compared with that of a conventional iterative detection scheme, and the results indicate that the proposed model is better by approximately 1 dB at 20% track misregistration. In particular, the performance of the system is quite superior, allowing the design of systems with higher area densities.-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.relation.isPartOfIEEE TRANSACTIONS ON MAGNETICS-
dc.subjectRESPONSE MAXIMUM-LIKELIHOOD-
dc.subjectHOLOGRAPHIC DATA-STORAGE-
dc.subjectVITERBI ALGORITHM-
dc.titleScheme for Utilizing the Soft Feedback Information in Bit-Patterned Media Recording Systems-
dc.typeArticle-
dc.identifier.doi10.1109/TMAG.2016.2626386-
dc.type.rimsART-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON MAGNETICS, v.53, no.3-
dc.description.journalClass1-
dc.identifier.wosid000395872400009-
dc.identifier.scopusid2-s2.0-85013663186-
dc.citation.number3-
dc.citation.titleIEEE TRANSACTIONS ON MAGNETICS-
dc.citation.volume53-
dc.contributor.affiliatedAuthorLee, Jaejin-
dc.type.docTypeArticle; Proceedings Paper-
dc.subject.keywordAuthorBit-patterned media recording (BPMR)-
dc.subject.keywordAuthorextrinsic information-
dc.subject.keywordAuthorintertrack interference (ITI)-
dc.subject.keywordAuthorsoft output Viterbi algorithm-
dc.subject.keywordPlusRESPONSE MAXIMUM-LIKELIHOOD-
dc.subject.keywordPlusHOLOGRAPHIC DATA-STORAGE-
dc.subject.keywordPlusVITERBI ALGORITHM-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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