A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy

A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy

Extracting useful features from ship-radiated noise can improve the performance of passive sonar. The entropy feature is an important supplement to existing technologies for ship classification. However, the existing entropy feature extraction methods for ship-radiated noise are less reliable under...

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Bibliographic Details
Main Authors: Zhe Chen, Yaan Li, Renjie Cao, Wasiq Ali, Jing Yu, Hongtao Liang
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Entropy
Subjects:
feature extraction
improved complete ensemble empirical mode decomposition with adaptive noise
improved permutation entropy
ship-radiated noise
Online Access:https://www.mdpi.com/1099-4300/21/6/624

Internet

https://www.mdpi.com/1099-4300/21/6/624

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