Conference
Distance and spectral power profile shaping using machine learning enabled Raman amplifiers
| العنوان: | Distance and spectral power profile shaping using machine learning enabled Raman amplifiers |
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| المؤلفون: | Soltani M., Da Ros F., Carena A., Zibar D. |
| المساهمون: | Soltani, M., Da Ros, F., Carena, A., Zibar, D. |
| بيانات النشر: | IEEE |
| سنة النشر: | 2021 |
| المجموعة: | PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino) |
| مصطلحات موضوعية: | Optical fiber amplifier, Stimulated emission, Pump, Machine learning, Probability density function, Optical fiber network, Feature extraction |
| الوصف: | We propose a Convolutional Neural Network (CNN) to learn the mapping between the 2D power profiles, (distance and frequency), and the Raman pumps. Using the CNN, the pump powers and wavelengths for arbitrary 2D profiles can be determined with high accuracy. |
| نوع الوثيقة: | conference object |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-1600-9; ispartofbook:2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM); 2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM); firstpage:1; lastpage:2; numberofpages:2; serie:DIGEST OF THE LEOS SUMMER TOPICAL MEETINGS; info:eu-repo/grantAgreement/EC/H2020/corda__h2020::0bd2032fa3d9426aef74dbd37b07dc22; https://hdl.handle.net/11583/2972736; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85124428814; https://ieeexplore.ieee.org/document/9505741 |
| DOI: | 10.1109/SUM48717.2021.9505741 |
| الاتاحة: | https://hdl.handle.net/11583/2972736 https://doi.org/10.1109/SUM48717.2021.9505741 https://ieeexplore.ieee.org/document/9505741 |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.D3972E6E |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/SUM48717.2021.9505741 |
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