拉曼放大器增益和噪声的超快速预测方法

A. M. R. Brusin, V. Curri, D. Zibar, A. Carena
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引用次数: 12

摘要

提出了一种用于拉曼增益和噪声谱预测的机器学习方法:它保证了高精度(RMSE < 0.4 dB)和低计算复杂度,使其适合于未来光网络控制器的实时实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ultra-fast method for gain and noise prediction of Raman amplifiers
A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.
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