Adaptive electrical signal post-processing in optical communications systems

Y Sun, A Shafarenko, R Adams, N Davey, Brendan Slater, Ranjeet Bhamber, Sonia Boscolo, Sergei K Turitsyn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Improving 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.
Original languageEnglish
Title of host publicationProceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)
EditorsKurosh Madani
PublisherINSTICC
Pages71-79
Number of pages9
Volume2008
ISBN (Print)978-989-8111-33-3
Publication statusPublished - May 2008
Event4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008) - Funchal, Portugal
Duration: 14 May 200815 May 2008

Conference

Conference4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)
CountryPortugal
CityFunchal
Period14/05/0815/05/08

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Sun, Y., Shafarenko, A., Adams, R., Davey, N., Slater, B., Bhamber, R., Boscolo, S., & Turitsyn, S. K. (2008). Adaptive electrical signal post-processing in optical communications systems. In K. Madani (Ed.), Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008) (Vol. 2008, pp. 71-79). INSTICC.