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dc.contributor.authorM, Jarajreh
dc.contributor.authorGiacoumidis, E
dc.contributor.authorAldaya, I
dc.contributor.authorLe, S.T.
dc.contributor.authorTsokanos, Athanasios
dc.contributor.authorGhassemlooy, Z.
dc.contributor.authorDoran , N.J.
dc.identifier.citationM , J , Giacoumidis , E , Aldaya , I , Le , S T , Tsokanos , A , Ghassemlooy , Z & Doran , N J 2015 , ' Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM ' , IEEE Photonics Technology Letters , vol. 27 , no. 4 , pp. 387-390 .
dc.identifier.otherPURE: 10586169
dc.identifier.otherPURE UUID: c2bb8986-23ab-4706-9d05-9d55cd766863
dc.identifier.otherScopus: 84921821182
dc.descriptionMutsam A. Jarajreh, et al, 'Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM', IEEE Photonics Technology Letters, Vol. 27 (4), February 2015, available online at:
dc.description.abstractWe propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) and compare it with the recent inverse Volterra-series transfer function (IVSTF)-based NLE over up to 1000 km of uncompensated links. Demonstration of ANN-NLE at 80-Gb/s CO-OFDM using 16-quadrature amplitude modulation reveals a Q-factor improvement after 1000-km transmission of 3 and 1 dB with respect to the linear equalization and IVSTF-NLE, respectively.en
dc.relation.ispartofIEEE Photonics Technology Letters
dc.titleArtificial Neural Network Nonlinear Equalizer for Coherent Optical OFDMen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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