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eess.SP2026
Spiking Neural Network-based Equalization and Demapping in IM/DD Systems: A Comparison
Eike-Manuel Edelmann, Alexander von Bank, Laurent Schmalen
In recent years, artificial neural networks (ANNs) have emerged as the de facto standard for addressing challenging problems in communications engineering that are difficult to sol…
eess.SP2026
Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems
Rodrigo Fischer, Shrinivas Chimmalgi, Andrej Rode +1
We evaluate joint probabilistic and geometric constellation shaping via reinforcement learning for complexity-constrained joint equalization and demodulation of direct detection op…