期刊
QUANTUM ELECTRONICS
卷 51, 期 5, 页码 459-462出版社
TURPION LTD
DOI: 10.1070/QEL17518
关键词
optical fibre; nonlinear effects; fully connected neural networks; mathematical modelling
资金
- RF President's Grants Council [MK-915.2020.9]
A scheme utilizing complex fully connected neural networks for processing optical signals in a communication system receiver is proposed. The study focuses on the influence of neural network characteristics on the efficiency of nonlinear distortion compensation, demonstrating a significant advantage over real-valued neural networks.
A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.
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