A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy

A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy

Warships play an important role in the modern sea battlefield. Research on the line spectrum features of warship radio noise signals is helpful to realize the classification and recognition of different types of warships, and provides critical information for sea battlefield. In this paper, we propo...

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Bibliographic Details
Main Authors: Yuxing Li, Long Wang, Xueping Li, Xiaohui Yang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Entropy
Subjects:
underwater acoustic signal
linear spectrum
frequency feature extraction
empirical mode decomposition (EMD)
complete EEMD with adaptive noise (CEEMDAN)
duffing chaotic oscillator (DCO)
weighted-permutation entropy (W-PE)
warship radio noise
Online Access:https://www.mdpi.com/1099-4300/21/5/507

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https://www.mdpi.com/1099-4300/21/5/507

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