Deep learning as a highly efficient tool for digital signal processing design  

作　　者：Andrey Pryamikov 

机构地区：[1]Prokhorov General Physics Institute of the Russian Academy of Sciences,Moscow,Russia

出　　处：《Light(Science & Applications)》2024年第11期2434-2435,共2页光（科学与应用)（英文版）

摘　　要：The backpropagation algorithm,the most widely used algorithm for training artificial neural networks,can be effectively applied to the development of digital signal processing schemes in the optical fiber transmission systems.Digital signal processing as a deep learning framework can lead to a new highly efficient paradigm for cost-effective digital signal processing designes with low complexity.

关 键 词：SIGNAL DIGITAL FIBER 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]