3 papers
eess.SP2026
Low Complexity Kolmogorov-Arnold Network-based DPD for Analog RoF Fronthaul
Carlos Daniel Fontes da Silva, Tianyu Jiang, Lu Zhang +5
This paper proposes and demonstrates experimentally for the first time a Kolmogorov-Arnold Network (KAN)-based digital predistortion (DPD) model, named envelope time-delay KAN (ETD…
physics.optics2026
A scalable and programmable optical neural network in a time-synthetic dimension
Bei Wu, Yudong Ren, Rui Zhao +6
Programmable optical neural networks (ONNs) can offer high-throughput and energy-efficient solutions for accelerating artificial intelligence (AI) computing. However, existing ONN…
physics.optics2025
Integrated Computation and Communication with Fiber-optic Transmissions
Jiahao Zhang, Lu Zhang, Xiaodan Pang +3
Fiber-optic transmission systems are leveraged not only as high-speed communication channels but also as nonlinear kernel functions for machine learning computations, enabling the…