Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Asia Communications and Photonics Conference (ACPC) 2019
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper T2G.4

Computational Complexity Analysis of Neural Network-based Nonlinear Equalization for Short Reach Direct Detection Systems

Not Accessible

Your library or personal account may give you access

Abstract

We analyze the computational complexity of a k-layer neural network (NN)-based nonlinear equalizer for short-reach direct detection (DD) systems. The system bit-error-rate (BER) performance is also investigated using different NNs and receiver bandwidths.

© 2019 The Author(s)

PDF Article
More Like This
Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction

Zhaopeng Xu, Chuanbowen Sun, Shuangyu Dong, Jonathan H. Manton, and William Shieh
Th1A.47 Optical Fiber Communication Conference (OFC) 2021

Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct Detection Systems

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Honglin Ji, and William Shieh
T4D.4 Optical Fiber Communication Conference (OFC) 2020

Investigation on the Impact of Additional Connections to Feedforward Neural Networks for Equalization in PAM4 Short-Reach Direct Detection Links

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Shuangyu Dong, Xian Zhou, and William Shieh
S4I.1 Asia Communications and Photonics Conference (ACP) 2020

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved