Delay Characteristics of Reservoir-Computing-Based Nonlinear Equalizer with Tapped Delay Line for Optical Nonlinearity Compensation

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.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109939
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
4.96
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article

Delay Characteristics of Reservoir-Computing-Based Nonlinear Equalizer with Tapped Delay Line for Optical Nonlinearity Compensation

Takumi Yamamoto, Shuichi Shimomura, Moriya Nakamura, Kai Ikuta et al.
2 citations
Neural Networks and Reservoir Computing
4.96
article

Delay Characteristics of Reservoir-Computing-Based Nonlinear Equalizer with Tapped Delay Line for Optical Nonlinearity Compensation

Takumi Yamamoto, Shuichi Shimomura, Moriya Nakamura, Kai Ikuta, Tsuyoshi Yamada, Yuta Ito, Shunya Uchide
article en
2 citations

Abstract

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.

Meiji University (JP)
Affordable and clean energy
Openalex Percentile: Top 5%
Neural Networks and Reservoir Computing
4.96
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Delay Characteristics of Reservoir-Computing-Based Nonlinear Equalizer with Tapped Delay Line for Optical Nonlinearity Compensation — Takumi Yamamoto, Shuichi Shimomura, et al. · (2025) | TGRS Research Map | TGRS