Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition

Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition

In order to enhance weak signals in strong noise background, a weak signal enhancement method based on EMDNN (neural network-assisted empirical mode decomposition) is proposed. This method combines CEEMD (complementary ensemble empirical mode decomposition), GAN (generative adversarial networks) and...

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Bibliographic Details
Main Authors: Kai Chen, Kai Xie, Chang Wen, Xin-Gong Tang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
weak signal
strong background noises
complete ensemble empirical mode
graphical processing unit
parallel computing
cyclic neural network
Online Access:https://www.mdpi.com/1424-8220/20/12/3373

Internet

https://www.mdpi.com/1424-8220/20/12/3373

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