Recurrent Neural Network Equalization (RNNE) for Partial Response (PR) Shaping of Magneto-optical (MO) Readback Signals

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dc.contributor.authorOzgunes, Inci
dc.contributor.authorHacio?lu, Kadri
dc.contributor.authorKumar, B. V.K.Vijaya
dc.date.accessioned2026-02-06T18:00:54Z
dc.date.issued1998
dc.departmentDoğu Akdeniz Üniversitesi
dc.descriptionOptical Data Storage, ODS 1998 -- 1998-05-10 through 1998-05-13 -- Aspen -- 181216
dc.description.abstractPR equalization of MO readback signals using RNNE improves SNR performance over linear equalizer (LE), allowing threshold detector rather than LE+Viterbi Algorithm with comparable BERs. © 1998 OSA - The Optical Society. All rights reserved.
dc.identifier.endpage185
dc.identifier.isbn1557525293
dc.identifier.isbn1557524688
dc.identifier.isbn1557527024
dc.identifier.isbn1557521913
dc.identifier.isbn9781557528650
dc.identifier.isbn9781943580491
dc.identifier.isbn1557523851
dc.identifier.isbn9781557529398
dc.identifier.isbn9781557527905
dc.identifier.isbn1557525404
dc.identifier.scopus2-s2.0-85135627874
dc.identifier.scopusqualityN/A
dc.identifier.startpage182
dc.identifier.urihttps://hdl.handle.net/11129/8171
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherOptica Publishing Group (formerly OSA)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectEqualizers
dc.subjectViterbi algorithm
dc.subjectEqualisation
dc.subjectLinear equalizer
dc.subjectMagneto-optical
dc.subjectPartial response
dc.subjectPerformance
dc.subjectThreshold detectors
dc.subjectRecurrent neural networks
dc.titleRecurrent Neural Network Equalization (RNNE) for Partial Response (PR) Shaping of Magneto-optical (MO) Readback Signals
dc.typeConference Object

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