Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters

Optical communication is the only viable solution to respond to the demand for a high bit rate and long transmission distance. Directly modulated lasers (DMLs) are a cheap solution for modulating the light in optical fibre. Moreover, their hardware is simpler than externally modulated lasers. Howeve...

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Bibliographic Details
Main Author: Rossi, Andrea
Other Authors: Vandin, Fabio, Antony, Cleitus, Townsend, Paul
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/20.500.12608/24608
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author Rossi, Andrea
author2 Vandin, Fabio
Antony, Cleitus
Townsend, Paul
author_facet Rossi, Andrea
author_sort Rossi, Andrea
collection Padua Thesis and Dissertations Archive (Università degli Studi die Padova)
description Optical communication is the only viable solution to respond to the demand for a high bit rate and long transmission distance. Directly modulated lasers (DMLs) are a cheap solution for modulating the light in optical fibre. Moreover, their hardware is simpler than externally modulated lasers. However, DML is inherently chirped and the transmission length with high bit rate is limited. This work explores and implements neural networks based signal predistortion schemes to create transmitters. open
genre DML
genre_facet DML
id ftunivpadodiss:oai:thesis.unipd.it:20.500.12608/24608
institution Open Polar
language English
op_collection_id ftunivpadodiss
op_doi https://doi.org/20.500.12608/24608
op_relation 2019-10-15
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publishDate 2022
record_format openpolar
spelling ftunivpadodiss:oai:thesis.unipd.it:20.500.12608/24608 2025-04-13T14:17:54+00:00 Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters Rossi, Andrea Vandin, Fabio Antony, Cleitus Townsend, Paul 2022-04-08T10:58:54Z application/pdf https://hdl.handle.net/20.500.12608/24608 eng eng 2019-10-15 http://hdl.handle.net/20.500.12608/24608 neural networks DML DSP Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni 2022 ftunivpadodiss https://doi.org/20.500.12608/24608 2025-03-18T05:35:41Z Optical communication is the only viable solution to respond to the demand for a high bit rate and long transmission distance. Directly modulated lasers (DMLs) are a cheap solution for modulating the light in optical fibre. Moreover, their hardware is simpler than externally modulated lasers. However, DML is inherently chirped and the transmission length with high bit rate is limited. This work explores and implements neural networks based signal predistortion schemes to create transmitters. open Other/Unknown Material DML Padua Thesis and Dissertations Archive (Università degli Studi die Padova)
spellingShingle neural networks
DML
DSP
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Rossi, Andrea
Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title_full Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title_fullStr Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title_full_unstemmed Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title_short Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters
title_sort machine learning based signal generation strategies for high-speed optical transmitters
topic neural networks
DML
DSP
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
topic_facet neural networks
DML
DSP
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
url https://hdl.handle.net/20.500.12608/24608