Autor:	Fernandes, Marco A., Messias, Adriano C., Tomaz De M. Vilela, Formiga, Daniel A., Reis, Jacklyn D., Monteiro, Paulo P., Guiomar, Fernando P.
Rok vydání:	2023
DOI:	10.5281/zenodo.7562053
Popis:	We propose a novel energy-efficient AI-based bandwidth compensation technique that jointly optimizes Tx and Rx static filters. Experimental demonstration in a 800G system reveals gains of more than 1 dB when compared with typical digital pre-emphasis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51623aecd0ac087a65cb73ab6d6296e3 Zobrazit plný text záznamu