Deep learning method for predicting electromagnetic emission spectrum of aerospace equipment

Abstract This paper proposes a deep learning method to predict the electromagnetic emission spectrum in the electromagnetic compatibility (EMC) test of aerospace products. A threshold‐based data decomposition method is used to propose the spike signal, reconstruct the original test data, and solve t...

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Bibliographic Details
Published in:IET Science, Measurement & Technology
Main Author: Yuting Zhang
Format: Article
Language:English
Published: Wiley 2024-06-01
Subjects:
aerospace testing
data analysis
electromagnetic compatibility
Bayes rule
data decomposition
deep learning
Online Access:https://doi.org/10.1049/smt2.12178

Internet

https://doi.org/10.1049/smt2.12178

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