论文标题
基于端到端深度学习的光纤通信系统
Optical Fiber Communication Systems Based on End-to-End Deep Learning
论文作者
论文摘要
我们研究了基于前馈或双向复发神经网络（BRNN）和深度学习的端到端优化的光学传输系统。特别是，我们报告了BRNN自动编码器的第一个实验演示，突出了通过复发性通过分散性非线性通道进行通信的经常处理而取得的性能提高。
We investigate end-to-end optimized optical transmission systems based on feedforward or bidirectional recurrent neural networks (BRNN) and deep learning. In particular, we report the first experimental demonstration of a BRNN auto-encoder, highlighting the performance improvement achieved with recurrent processing for communication over dispersive nonlinear channels.
