Comparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050689.pdf
Reference13 articles.
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2. T. Nguyen, S. Mhatli, E. Giacoumidis, L. V. Compernolle, M. Wuilpart, and P. Mégret, "Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM," IEEE Photonics Journal, 8(2),. 1-9, 2016, doi: 10.1109/JPHOT.2016.2528886.
3. D. Semrau et al., "Achievable information rates estimates in optically amplified transmission systems using nonlinearity compensation and probabilistic shaping," Opt. Lett., 42(1), 121-124, 2017. doi: 10.1364/OL.42.000121.
4. D. Lavery, D. Ives, G. Liga, A. Alvarado, S. J. Savory, and P. Bayvel, "The benefit of split nonlinearity compensation for single channel optical fiber communications," in 2016 IEEE Photonics Conference (IPC), 2016, 799-802, 2016. doi: 10.1109/IPCon.2016.7831073.
5. H. Hu et al., "Fiber nonlinearity compensation of an 8-channel WDM PDM-QPSK signal using multiple phase conjugations," in OFC 2014, 2014, 1-3, 2014. doi: 10.1364/OFC.2014.M3C.2.
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