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dc.contributor.authorCaballero, FJV
dc.contributor.authorIves, DJ
dc.contributor.authorLaperle, C
dc.contributor.authorCharlton, D
dc.contributor.authorZhuge, Q
dc.contributor.authorO'Sullivan, M
dc.contributor.authorSavory, SJ
dc.date.accessioned2018-11-21T00:31:35Z
dc.date.available2018-11-21T00:31:35Z
dc.date.issued2018
dc.identifier.issn1943-0620
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/285546
dc.publisherThe Optical Society
dc.titleMachine learning based linear and nonlinear noise estimation
dc.typeArticle
prism.endingPageD51
prism.issueIdentifier10
prism.publicationDate2018
prism.publicationNameJournal of Optical Communications and Networking
prism.startingPageD42
prism.volume10
dc.identifier.doi10.17863/CAM.32903
rioxxterms.versionofrecord10.1364/JOCN.10.000D42
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-10-01
dc.contributor.orcidIves, David [0000-0002-2482-7032]
dc.contributor.orcidSavory, Seb [0000-0002-6803-718X]
dc.identifier.eissn1943-0639
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/L026155/2)
cam.issuedOnline2018-06-05


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