An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals

An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals

With the availability of 5G, multi-dimensional signals' characteristic analysis becomes more challenging. Minor component analysis (MCA) is a useful data analysis approach to estimate the important features of multi-dimensional signals. MCA neural network approaches can extract minor components...

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Bibliographic Details
Main Authors: Peng Chen, Lei Wu, Dezhong Peng, Xiaoyue Gong, Victor Hugo C. De Albuquerque
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
5G
minor component analysis (MCA)
neural networks
Eigen value
deterministic discrete time (DDT) method
Online Access:https://ieeexplore.ieee.org/document/8756288/

Internet

https://ieeexplore.ieee.org/document/8756288/

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