Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks
Transmission systems that use advanced complex modulation schemes have been driving the growth of optical communication networks for nearly a decade. In fact, the adoption of advanced modulation schemes and digital coherent systems has led researchers and industry communities to develop new strategi...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2021
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16832
- Acceso en línea:
- https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/modulation-format-recognition-using-artificial-neural-networks-for-the-next-generation-optical-netwo
http://hdl.handle.net/20.500.12010/16832
- Palabra clave:
- Ingeniería de software
Redes neuronales artificiales
Redes ópticas
Reconocimiento de formato de modulación
- Rights
- License
- Abierto (Texto Completo)
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oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16832 |
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|
dc.title.spa.fl_str_mv |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
title |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
spellingShingle |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks Ingeniería de software Redes neuronales artificiales Redes ópticas Reconocimiento de formato de modulación |
title_short |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
title_full |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
title_fullStr |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
title_full_unstemmed |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
title_sort |
Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks |
dc.subject.spa.fl_str_mv |
Ingeniería de software |
topic |
Ingeniería de software Redes neuronales artificiales Redes ópticas Reconocimiento de formato de modulación |
dc.subject.lemb.spa.fl_str_mv |
Redes neuronales artificiales Redes ópticas Reconocimiento de formato de modulación |
description |
Transmission systems that use advanced complex modulation schemes have been driving the growth of optical communication networks for nearly a decade. In fact, the adoption of advanced modulation schemes and digital coherent systems has led researchers and industry communities to develop new strategies for network diagnosis and management. A prior knowledge of modulation formats and symbol rates of all received optical signals is needed. Our approach of modulation formats identification is based on artificial neural networks (ANNs) in conjunction with different features extraction approaches. Unlike the existing techniques, our ANN-based pattern recognition algorithm facilitates the modulation format classification with higher accuracies. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-01-21T18:03:19Z |
dc.date.available.none.fl_str_mv |
2021-01-21T18:03:19Z |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2f33 |
format |
http://purl.org/coar/resource_type/c_2f33 |
dc.identifier.other.none.fl_str_mv |
https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/modulation-format-recognition-using-artificial-neural-networks-for-the-next-generation-optical-netwo |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/16832 |
dc.identifier.doi.none.fl_str_mv |
10.5772/intechopen.70954 |
url |
https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/modulation-format-recognition-using-artificial-neural-networks-for-the-next-generation-optical-netwo http://hdl.handle.net/20.500.12010/16832 |
identifier_str_mv |
10.5772/intechopen.70954 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
Latifa Guesmi, Habib Fathallah and Mourad Menif (February 28th 2018). Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks, Advanced Applications for Artificial Neural Networks, Adel El-Shahat, IntechOpen, DOI: 10.5772/intechopen.70954. |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Abierto (Texto Completo) |
dc.rights.creativecommons.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode |
rights_invalid_str_mv |
Abierto (Texto Completo) https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.spa.fl_str_mv |
19 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
IntechOpen |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
bitstream.url.fl_str_mv |
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/1/Modulation%20Format%20Recognition%20Using%20Artificial%20Neural_83.pdf https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/2/license.txt https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/3/Modulation%20Format%20Recognition%20Using%20Artificial%20Neural_83.pdf.jpg |
bitstream.checksum.fl_str_mv |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Universidad Jorge Tadeo Lozano |
repository.mail.fl_str_mv |
expeditio@utadeo.edu.co |
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1814213481197469696 |
spelling |
2021-01-21T18:03:19Z2021-01-21T18:03:19Zhttps://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/modulation-format-recognition-using-artificial-neural-networks-for-the-next-generation-optical-netwohttp://hdl.handle.net/20.500.12010/1683210.5772/intechopen.7095419 páginasapplication/pdfengIntechOpenIngeniería de softwareRedes neuronales artificialesRedes ópticasReconocimiento de formato de modulaciónModulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical NetworksAbierto (Texto Completo)https://creativecommons.org/licenses/by-nc-nd/4.0/legalcodehttp://purl.org/coar/access_right/c_abf2Latifa Guesmi, Habib Fathallah and Mourad Menif (February 28th 2018). Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks, Advanced Applications for Artificial Neural Networks, Adel El-Shahat, IntechOpen, DOI: 10.5772/intechopen.70954.Transmission systems that use advanced complex modulation schemes have been driving the growth of optical communication networks for nearly a decade. In fact, the adoption of advanced modulation schemes and digital coherent systems has led researchers and industry communities to develop new strategies for network diagnosis and management. A prior knowledge of modulation formats and symbol rates of all received optical signals is needed. Our approach of modulation formats identification is based on artificial neural networks (ANNs) in conjunction with different features extraction approaches. Unlike the existing techniques, our ANN-based pattern recognition algorithm facilitates the modulation format classification with higher accuracies.http://purl.org/coar/resource_type/c_2f33Guesmi, LatifaFathallah, HabibMenif, MouradORIGINALModulation Format Recognition Using Artificial Neural_83.pdfModulation Format Recognition Using Artificial Neural_83.pdfVer documentoapplication/pdf3326873https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/1/Modulation%20Format%20Recognition%20Using%20Artificial%20Neural_83.pdf34c41909e5946b9c2cf195e18b78c918MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILModulation Format Recognition Using Artificial Neural_83.pdf.jpgModulation Format Recognition Using Artificial Neural_83.pdf.jpgIM Thumbnailimage/jpeg11607https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16832/3/Modulation%20Format%20Recognition%20Using%20Artificial%20Neural_83.pdf.jpgf94e49470bc040d7eddeeca6b23f4786MD53open access20.500.12010/16832oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/168322021-01-31 18:04:40.189open accessRepositorio Institucional - Universidad Jorge Tadeo Lozanoexpeditio@utadeo.edu.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 |