Impact of Non-Gaussian Noise Distribution by Artificial Neural Network-based Equalizers
Author:
Affiliation:
1. Huazhong University of Science and Technology,School of Optical and Electronic Information,Wuhan,China
2. Westlake University,College of Information Science and Electronic Engineering,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10209604/10209571/10209616.pdf?arnumber=10209616
Reference8 articles.
1. On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel
2. Computational complexity comparison of feedforward/radial basis function/recurrent neural network-based equalizer for a 50-Gb/s PAM4 direct-detection optical link
3. On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit
4. LDPC-Coded Modulation Performance Analysis and System Design
5. LDPC Codes for Optical Channels: Is the “FEC Limit” a Good Predictor of Post-FEC BER?
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