Boolean:	`(bicycle AND helmet) OR (head AND protection)` (always group AND in parenthesis)
Title:	`title:(climate change)`
Author:	`author:("bohr niels" OR "bohr n")` (avoid only full first name)
Phrase:	`"water pump control"` (does not work with wildcards)
Wildcards:	`wom?n pharm*`

Conference paper

Reservoir-computing and neural-network-based equalization for short reach communication

By Da Ros, Francesco^1,2,3; Ranzini, Stenio Magalhães; Osadchuk, Yevhenii^1,3; Cem, Ali³; Giron Castro, Bernard Jonathan³; Zibar, Darko^1,2,3

From

Machine Learning in Photonic Systems, Department of Electrical and Photonics Engineering, Technical University of Denmark¹

Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark²

Department of Electrical and Photonics Engineering, Technical University of Denmark³

Abstract

We review the use of neural-network-based equalizers for mitigating the power fading effect in intensity-modulated directly detected links, and compare the different approaches reported in the literature.

Language:	English
Year:	2023
Proceedings:	Signal Processing in Photonic Communications 2022
Types:	Conference paper
ORCIDs:	Da Ros, Francesco , Ranzini, Stenio Magalhães , Cem, Ali , Giron Castro, Bernard Jonathan and Zibar, Darko

Reservoir-computing and neural-network-based equalization for short reach communication

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