Kerr-induced Nonlinearity Reduction In Coherent Optical Ofdm By Low Complexity Support Vector Machine Regression-based Equalization

dc.creatorGiacoumidis
dc.creatorE.; Mhatli
dc.creatorS.; Nguyen
dc.creatorT.; Le
dc.creatorS. T.; Aldaya
dc.creatorI.; McCarthy
dc.creatorM. A.; Eggleton
dc.creatorB. J.
dc.date2016
dc.date2017-11-13T13:50:40Z
dc.date2017-11-13T13:50:40Z
dc.date.accessioned2018-03-29T06:07:10Z
dc.date.available2018-03-29T06:07:10Z
dc.identifier978-1-9435-8007-1
dc.identifier2016 Optical Fiber Communications Conference And Exhibition (ofc). Ieee, p. , 2016.
dc.identifierWOS:000382938100188
dc.identifierhttp://ieeexplore.ieee.org/document/7537387/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329234
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366259
dc.descriptionWe experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km using support vector machine regression-based equalization. Simulation in WDM-CO-OFDM shows up to 12-dB enhancement in Q-factor compared to linear equalization.
dc.descriptionOptical Fiber Communications Conference and Exhibition (OFC)
dc.descriptionMAR 20-24, 2016
dc.descriptionAnaheim, CA
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relation2016 Optical Fiber Communications Conference and Exhibition (OFC)
dc.rightsfechado
dc.sourceWOS
dc.titleKerr-induced Nonlinearity Reduction In Coherent Optical Ofdm By Low Complexity Support Vector Machine Regression-based Equalization
dc.typeActas de congresos


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