Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications
Toshiaki Koike-Akino;
Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical Communications
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.
- Mitsubishi Electric Research Laboratories United States
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 2
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