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dc.contributor.authorSun, Yi.
dc.contributor.authorShafarenko, A.
dc.contributor.authorAdams, R.G.
dc.contributor.authorDavey, N.
dc.contributor.authorSlater, B.
dc.contributor.authorBhamber, R.
dc.contributor.authorBoscolo, S.
dc.contributor.authorTuritsyn, S.K.
dc.date.accessioned2008-10-01T09:50:02Z
dc.date.available2008-10-01T09:50:02Z
dc.date.issued2008
dc.identifier.citationSun , Y , Shafarenko , A , Adams , R G , Davey , N , Slater , B , Bhamber , R , Boscolo , S & Turitsyn , S K 2008 , Adaptive Electrical Signal Post-Processing in Optical Communication Systems . in In: Procs of the Artificial Neural Networks and Intelligent Information Processing Workshop (ANNIP 2008) . INSTICC (Inst. Syst. Technologies Information Control and Communication) , pp. 71-79 .
dc.identifier.isbn978-989-8111-33-3
dc.identifier.otherdspace: 2299/2409
dc.identifier.urihttp://hdl.handle.net/2299/2409
dc.description.abstractImproving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware implementable machine learning techniques. This may enable some error correction at the speed required.en
dc.format.extent2708017
dc.language.isoeng
dc.publisherINSTICC (Inst. Syst. Technologies Information Control and Communication)
dc.relation.ispartofIn: Procs of the Artificial Neural Networks and Intelligent Information Processing Workshop (ANNIP 2008)
dc.titleAdaptive Electrical Signal Post-Processing in Optical Communication Systemsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.typeOther


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