Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106996
| Title: | Machine learning methods for optical communication systems | Authors: | Khan, FN Lu, C Lau, APT |
Issue Date: | 2017 | Source: | Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper SpW2F.3 | Abstract: | We review application of machine learning methods to tackle fiber linear/nonlinear impairments as well as to estimate crucial signal parameters in optical networks. Recent works involving hierarchical learning approaches are also discussed. | Publisher: | Optica Publishing Group | ISBN: | 978-1-943580-30-9 | DOI: | 10.1364/SPPCOM.2017.SpW2F.3 | Description: | Signal Processing in Photonic Communications 2017, New Orleans, Louisiana United States, 24-27 July 2017 | Rights: | © 2017 Optical Society of America The following publication F. N. Khan, C. Lu, and A. P. T. Lau, "Machine Learning Methods for Optical Communication Systems," in Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper SpW2F.3 is available at https://doi.org/10.1364/SPPCOM.2017.SpW2F.3. |
| Appears in Collections: | Conference Paper |
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| sppcom-2017-spw2f.3.pdf | 503.91 kB | Adobe PDF | View/Open |
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