Resonance-Based Time-Frequency Manifold for Feature Extraction of Ship-Radiated Noise

Resonance-Based Time-Frequency Manifold for Feature Extraction of Ship-Radiated Noise

In this paper, a novel time-frequency signature using resonance-based sparse signal decomposition (RSSD), phase space reconstruction (PSR), time-frequency distribution (TFD) and manifold learning is proposed for feature extraction of ship-radiated noise, which is called resonance-based time-frequenc...

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Bibliographic Details
Main Authors: Jiaquan Yan, Haixin Sun, Hailan Chen, Naveed Ur Rehman Junejo, En Cheng
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
ship-radiated noise
resonance-based sparse signal decomposition
manifold learning
phase space reconstruction
resonance-based time-frequency manifold
Online Access:http://www.mdpi.com/1424-8220/18/4/936

Internet

http://www.mdpi.com/1424-8220/18/4/936

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