Masking Modelling for Underwater Acoustic Target Recognition with Self-supervised Learning
Author:
Affiliation:
1. National University of Defense Technology, Changsha,College of computer science,Hunan,China,410073
2. National University of Defense Technology, Changsha,College of Meteorology & Oceanography,Hunan,China,410073
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455087/10454140/10456244.pdf?arnumber=10456244
Reference20 articles.
1. Towards the internet of underwater things: a comprehensive survey
2. Short-time fourier transform: two fundamental properties and an optimal implementation
3. Passive tracking of underwater acoustic targets based on multi-beam LOFAR and deep learning
4. Novel DEMON Spectra Analysis Techniques and Empirical Knowledge Based Reference Criterion for Acoustic Signal Classification
5. Feature extraction of underwater target in auditory sensation area based on MFCC
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