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Fast mode decomposition in few-mode fibers
Egor S. Manuylovich
*
,
Vladislav V. Dvoyrin
,
Sergei K. Turitsyn
*
Corresponding author for this work
Aston Institute of Photonic Technologies (AiPT)
College of Engineering and Physical Sciences
Aston University
Research output
:
Contribution to journal
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Article
›
peer-review
116
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Citations (SciVal)
17
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Keyphrases
Few-mode Fiber
100%
Fast Mode
100%
Mode Decomposition
100%
Machine Learning Techniques
66%
Telecommunications
66%
Intensity Distribution
66%
Decomposition Algorithm
66%
Multimode Fiber
33%
Neural Network
33%
Order of Magnitude
33%
Popular
33%
Optimization Methods
33%
Signal Processing
33%
Optical Phase
33%
Phase Information
33%
Industrial Application
33%
Mode Structure
33%
Processing Time
33%
Deep Learning
33%
Spatial Mode
33%
Mathematical Algorithm
33%
Current Mode
33%
Scientific Applications
33%
High Computational Cost
33%
High Latency
33%
Phase Retrieval
33%
High Performance Mode
33%
Computer Science
Information Retrieval
100%
Telecommunication
100%
Neural Network
50%
Machine Learning Technique
50%
Machine Learning
50%
Learning System
50%
Phase Information
50%
Computational Cost
50%
Processing Time
50%
Deep Learning Method
50%
Multimode Fiber
50%
Industrial Applications
50%
Scientific Application
50%
Performance Mode
50%
Engineering
Mode Fiber
100%
Telecommunication
66%
Multimode Fiber
33%
Optimization Method
33%
Machine Learning Technique
33%
Optical Phase
33%
Phase Information
33%
Industrial Applications
33%
Computational Cost
33%
Processing Time
33%
Microsecond
33%
Machine Learning Method
33%
Deep Learning Method
33%
Phase Retrieval
33%
Measured Intensity
33%
Physics
Telecommunication
100%
Machine Learning
100%
Neural Network
50%
Signal Processing
50%
Deep Learning Method
50%
Chemical Engineering
Learning System
100%
Neural Network
50%
Polyacrylonitrile
50%
Deep Learning Method
50%
Material Science
Polyacrylonitrile
100%