An OAM Classification Technique using CNN Approach
Author:
Affiliation:
1. Pukyong National University,Dept, of Artificial Intelligence Convergence,Busan,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10066849/10066958/10067022.pdf?arnumber=10067022
Reference4 articles.
1. Machine learning-aided classification of beams carrying orbital angular momentum propagated in highly turbid water
2. Error-Correction Coded Orbital-Angular-Momentum Modulation for FSO Channels Affected by Turbulence
3. High-Performance and High-Capacity Ultraviolet Communication With Orbital Angular Momentum
4. Spectrum Sensing for Optical Wireless Scattering Communications Over Málaga Fading—A Cooperative Approach With Hard Decision Fusion
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