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

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

Aston Institute of Photonic Technologies (AiPT)

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)
Editors	Kurosh Madani
Publisher	INSTICC
Pages	71-79
Number of pages	9
Volume	2008
ISBN (Print)	978-989-8111-33-3
Publication status	Published - May 2008
Event	4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008) - Funchal, Portugal Duration: 14 May 2008 → 15 May 2008

Conference

Conference	4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)
Country/Territory	Portugal
City	Funchal
Period	14/05/08 → 15/05/08

Cite this

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.

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title = "Adaptive electrical signal post-processing in optical communications systems",

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.",

author = "Y Sun and A Shafarenko and R Adams and N Davey and Brendan Slater and Ranjeet Bhamber and Sonia Boscolo and Turitsyn, {Sergei K}",

year = "2008",

month = may,

language = "English",

isbn = "978-989-8111-33-3",

volume = "2008",

pages = "71--79",

editor = "Kurosh Madani",

booktitle = "Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)",

publisher = "INSTICC",

note = "4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008) ; Conference date: 14-05-2008 Through 15-05-2008",

}

Sun, Y, Shafarenko, A, Adams, R, Davey, N, Slater, B, Bhamber, R, Boscolo, S & Turitsyn, SK 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, INSTICC, pp. 71-79, 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008), Funchal, Portugal, 14/05/08.

Adaptive electrical signal post-processing in optical communications systems. / Sun, Y; Shafarenko, A; Adams, R et al.
Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008). ed. / Kurosh Madani. Vol. 2008 INSTICC, 2008. p. 71-79.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Adaptive electrical signal post-processing in optical communications systems

AU - Sun, Y

AU - Shafarenko, A

AU - Adams, R

AU - Davey, N

AU - Slater, Brendan

AU - Bhamber, Ranjeet

AU - Boscolo, Sonia

AU - Turitsyn, Sergei K

PY - 2008/5

Y1 - 2008/5

N2 - 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.

AB - 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.

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M3 - Conference publication

SN - 978-989-8111-33-3

VL - 2008

SP - 71

EP - 79

BT - Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)

A2 - Madani, Kurosh

PB - INSTICC

T2 - 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)

Y2 - 14 May 2008 through 15 May 2008

ER -

Adaptive electrical signal post-processing in optical communications systems

Abstract

Conference

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