Channel Modeling and Machine Learning for Nonlinear Fiber Optics

Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

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Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Electrical Engineering
Supervisors/Advisors	Alvarado, Alex, Promotor Agrell, Erik, Promotor, External person Liga, Gabriele, Copromotor
Award date	19 Jan 2022
Place of Publication	Eindhoven
Publisher	Technische Universiteit Eindhoven
Print ISBNs	978-90-386-5426-3
Publication status	Published - 19 Jan 2022

Proefschrift.

Access to Document

ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels
Alvarado, A. (Project Manager), Alvarado, A. (Project member), Willems, F. M. J. (Project communication officer), Sanders, R. (Project communication officer), Alvarado, A. (Project communication officer), Barreiro, A. (Project communication officer), Wu, K. (Project member), de Jonge, M. (Project communication officer), Karanov, B. (Project communication officer), Karanov, B. (Project member), Lee, J. (Project member) & Oliari, V. (Project member)
1/08/17 → 31/07/23
Project: Research direct

@phdthesis{832f05f5ec364139a261622f6ea0a257,

title = "Channel Modeling and Machine Learning for Nonlinear Fiber Optics",

author = "{Oliari Couto Dias}, Vin{\'i}cius",

note = "Proefschrift.",

year = "2022",

month = jan,

day = "19",

language = "English",

isbn = "978-90-386-5426-3",

publisher = "Technische Universiteit Eindhoven",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Electrical Engineering",

}