helical wave
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2021 ◽  
Author(s):  
Chi Zhang ◽  
Rui Niu ◽  
Pengfei Sha ◽  
Xiaoshuai Li ◽  
Hongmei Ma ◽  
...  
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2019 ◽  
Vol 45 (2) ◽  
pp. 126-128
Author(s):  
D. A. Stankevich
Keyword(s):  

Author(s):  
Д.А. Станкевич

AbstractMachine learning methods were used to construct a demultiplexer for helical wave front separation into orthogonal modes. The accuracy of wave front demultiplexing into eight modes at a signal-to-noise ratio of –3 dB is about 95% in a broad range of signal carrier frequencies. For nonstationary parameters of signals, the proposed demultiplexer accuracy exceeds that of the classical correlation method.


2018 ◽  
Vol 23 (4) ◽  
pp. 515-522 ◽  
Author(s):  
Wei Qi ◽  
Tetsushi Kamegawa ◽  
Akio Gofuku

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