Hyperparameter Free MEEF-Based Learning for Next Generation Communication Systems-Reference-Cited by-同舟云学术

Hyperparameter Free MEEF-Based Learning for Next Generation Communication Systems

Published:2022-03 Issue:3 Volume:70 Page:1682-1696
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Mitra Rangeet¹^ORCID,Kaddoum Georges¹^ORCID,Costa Daniel Benevides da²^ORCID

Affiliation:

1. École de Technologie Supérieure (ÉTS), Université du Québec, Montreal, QC, Canada

2. Intelligent Wireless Communications (IWiCom) Research Group—Future Technology Research Center, National Yunlin University of Science and Technology, Douliu, Yunlin, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9736381/09676575.pdf?arnumber=9676575

Reference44 articles.

1. Statistics of SNR for an Indoor VLC System and Its Applications in System Performance

2. A useful theorem for nonlinear devices having Gaussian inputs

3. Fixed-Point Minimum Error Entropy With Fiducial Points

4. Cooperative Localization in Harsh Underwater Environment Based on the MC-ANFIS

5. MCC-CKF: A Distance Constrained Kalman Filter Method for Indoor TOA Localization Applications

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Post-Distortion Based on BP Neural Network Improved by Genetic Algorithm Aided Particle Swarm Optimization for Nonlinear VLC Systems;2023 International Conference on Ubiquitous Communication (Ucom);2023-07-07

2. Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives;Sensors;2023-01-10

3. Recursive Hyperparameter-Free Criterion Learning;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-11