Electromagnetic Signal Classification Based on Deep Sparse Capsule Networks

Electromagnetic Signal Classification Based on Deep Sparse Capsule Networks

In complex electromagnetic environments, electromagnetic signal classification rates are low as long time have to be the cost to extract features. To cope with the issue, in this paper, an electromagnetic signal classification method is proposed based on deep sparse capsule networks. In the proposed...

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Bibliographic Details
Main Authors: Mingqian Liu, Guiyue Liao, Zhutian Yang, Hao Song, Fengkui Gong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Signal classification
capsule networks
sparse filtering
cross ambiguity function
higher order amplitude spectrum
Online Access:https://ieeexplore.ieee.org/document/8744513/

Internet

https://ieeexplore.ieee.org/document/8744513/

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