论文标题
低复杂性卷积神经网络用于光纤传输中的均衡
Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission
论文作者
论文摘要
提出了一个卷积神经网络来减轻纤维传递效应，与替代均衡器相比，可训练参数的降低了五倍，而MSE与DBP相比，MSE的提高3.5 dB。
A convolutional neural network is proposed to mitigate fiber transmission effects, achieving a five-fold reduction in trainable parameters compared to alternative equalizers, and 3.5 dB improvement in MSE compared to DBP with comparable complexity.
