Data-driven Modeling Technique for Optical Communications Based on Deep Learning

Autor:	Danshi Wang, Yuchen Song, Min Zhang
Rok vydání:	2020
Předmět:	Signal processing Computer science business.industry Deep learning Compatibility (mechanics) Optical communication Electronic engineering Systems design Artificial intelligence Photonics Optical performance monitoring business Data-driven
Zdroj:	Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC).
DOI:	10.1364/acpc.2020.m3b.3
Popis:	A data-driven modeling technique based on deep learning is proposed and introduced in optical communications. The compatibility with the existing model system demonstrates that the proposed method is a supplementary technique for the conventional modules and is also a potential option for future modeling methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::99c530e6ec08c11cdc6722f2268e1d6a https://doi.org/10.1364/acpc.2020.m3b.3 Zobrazit plný text záznamu