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Conference Paper
Signal Processing in Photonic Communications
San Diego, California United States
July 13-17, 2014
ISBN: 978-1-55752-737-0
Symposium: Machine Learning Concepts in Optical Communication Systems (ST2D)

Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications

Toshiaki Koike-Akino  »View Author Affiliations


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Modern statistical learning technologies such as deep learning have a great potential to deal with linear/nonlinear fiber impairments for future coherent optical communications. We introduce various learning techniques suited for nonlinear equalizations.

© 2014 OSA

OCIS Codes
(000.0000) General : General
(000.2700) General : General science

T. Koike-Akino, "Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications," in Advanced Photonics for Communications, OSA Technical Digest (online) (Optical Society of America, 2014), paper ST2D.2.

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