[WP-B] Poster Session 2

[WP-B-9] Delay Characteristics of Reservoir-Computing-Based Nonlinear Equalizer with Tapped Delay Line for Optical Nonlinearity Compensation

○Tsuyoshi Yamada¹, Kai Ikuta¹, Yuta Ito¹, Soya Shimomura¹, Takumi Yamamoto¹, Shunya Uchide¹, Moriya Nakamura¹ (1.Meiji University)

Keywords:

Artificial intelligence and machine learning for optical transmission systems and subsystems

We confirmed that the tapped delay line enhances the signal delay capability of reservoir computing designed for optical nonlinearity compensation. However, we also clarified that the signal quality stored in the equalizer degrades simultaneously.