Work

Fiber Nonlinearity Compensation Using Nonlinear Equalizer Based on Complex-Valued Reservoir Computing

Year: 2024

Type: article

Source: IEICE Transactions on Communications

DOI: 10.23919/transcom.2024ebp3072

Authors: Kai Ikuta, Yuta Ito, Takahide Sakamoto, Naokatsu Yamamoto, Moriya Nakamura

Institutions: Meiji University, Tokyo Metropolitan University, National Institute of Information and Communications Technology

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Digital signal processing for compensation of optical nonlinear waveform distortions in optical fiber transmission

OpenAlex ID: W4402780061

FWCI: 0.884

Cites: 23

Cited by: 6

Related to: 10