Photonic machine learning implementation for signal recovery in optical communications

Machine learning techniques have proven very efficient in assorted classification tasks. Nevertheless, processing time-dependent high-speed signals can turn into an extremely challenging task, especially when these signals have been nonlinearly distorted. Recently, analogue hardware concepts using n...

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Detalles Bibliográficos
Autores principales: Argyris, Apostolos, Bueno, Julián, Fischer, Ingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981473/
https://www.ncbi.nlm.nih.gov/pubmed/29855549
http://dx.doi.org/10.1038/s41598-018-26927-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981473/
https://www.ncbi.nlm.nih.gov/pubmed/29855549
http://dx.doi.org/10.1038/s41598-018-26927-y

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