Signal Shaping and Neuromorphic Processing for Optical Communications

M. Sorokina, S. Turitsyn
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Abstract

We demonstrate an advantage of combining probabilistic shaping and neuromorphic computing processing based on the fiber-optic echo state network analogue (FESNA) for optical communications systems.
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光通信中的信号整形和神经形态处理
我们展示了基于光纤回波状态网络模拟(FESNA)的光通信系统中概率整形和神经形态计算处理相结合的优势。
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