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Mitigation of nonlinearities in analog radio over fiber links using machine learning approach
Muhammad Usman Hadi
Faculty Of Computing, Eng. & Built Env.
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Citations (Scopus)
85
Downloads (Pure)
Overview
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Dive into the research topics of 'Mitigation of nonlinearities in analog radio over fiber links using machine learning approach'. Together they form a unique fingerprint.
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Engineering
Fiber Link
100%
Learning Approach
100%
Learning System
100%
Nonlinearity
100%
Support Vector Machine
66%
Q Factor
33%
Single Mode Fibers
33%
Fibre Length
33%
Radio-Over-Fiber System
33%
Fiber-Optic Communication
33%
Machine Learning Technique
33%
Link Impairment
33%
Decision Boundary
33%
Quadrature Amplitude Modulation
33%
Computer Science
Machine Learning Approach
100%
Support Vector Machine
100%
Machine Learning Technique
50%
Quality Factor
50%
Decision Boundary
50%
Fiber-Optic Communication
50%
Machine Learning
50%
Learning System
50%
Quadrature Amplitude Modulation
50%
Material Science
Radio-Over-Fiber System
100%
Fiber-Optic Communication
100%