Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach-Reference-Cited by-同舟云学术

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Published:2024-06-15 Issue:12 Volume:42 Page:4177-4201
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Freire Pedro¹^ORCID,Srivallapanondh Sasipim¹^ORCID,Spinnler Bernhard²^ORCID,Napoli Antonio²^ORCID,Costa Nelson³^ORCID,Prilepsky Jaroslaw E.¹^ORCID,Turitsyn Sergei K.¹^ORCID

Affiliation:

1. Aston Institute of Photonic Technologies, Aston University, Birmingham, U.K.

2. Infinera R&D, Munich, Germany

3. Infinera Unipessoal, Carnaxide, Portugal

Funder

European Union' Horizon Europe Research and Innovation Programme

Leverhulme Trust

EPSRC Project TRANSNET

EU Horizon 2020 Program

Marie Sklodowska-Curie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/50/10577991/10496171.pdf?arnumber=10496171

Reference123 articles.

1. Review of neural network applications in medical imaging and signal processing

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3. 1D convolutional neural networks and applications: A survey

4. An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing

5. Adaptive blind signal processing-neural network approaches

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