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A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation
Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems.
Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain
We present a novel ML framework for modeling the wavelength-dependent gain of multiple EDFAs, based on semi-supervised, self-normalizing neural networks, enabling one-shot transfer learning.
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