Nonlinear Resilient Learning Method Based on Joint Time-Frequency Image Analysis in Underwater Visible Light Communication
In this paper, we propose a novel nonlinear resilient learning post equalizer named TFDNet in UVLC system. Unlike the traditional deep neural network (DNN) based post equalizers which merely consider the time domain, the proposed TFDNet exploits time-frequency image analysis which considers the time...
Saved in:
| Main Authors: | Hui Chen, Yiheng Zhao, Fangchen Hu, Nan Chi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9039738/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System
by: Wenqing Niu, et al.
Published: (2021-01-01) -
Application of Gaussian Mixture Model to Solve Inter-Symbol Interference in PAM8 Underwater Visible Light System Communication
by: Xingbang Wu, et al.
Published: (2019-01-01) -
Three-Dimensional Localization of Underwater Nodes Using Airborne Visible Light Beams
by: Jaeed Bin Saif, et al.
Published: (2025-05-01) -
Multiple Access With Polarity Division Sparse Code for Visible Light Communication
by: Yu Xiao, et al.
Published: (2019-01-01) -
Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN
by: Meng Shi, et al.
Published: (2019-01-01)