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A New Low SNR Underwater Acoustic Signal Classification Method Based on Intrinsic Modal Features Maintaining Dimensionality Reduction Cover

A New Low SNR Underwater Acoustic Signal Classification Method Based on Intrinsic Modal Features Maintaining Dimensionality Reduction

Polish Maritime Research
Volume 27 (2020): Issue 2 (June 2020)
By: Yang Ju,  Zhengxian Wei,  Li Huangfu and  Feng Xiao  
Open Access
|Jul 2020

Authors

Yang Ju

jyang-pioneer@163.com

Science and Technology on Underwater Acoustic Antagonizing Laboratory, China

Zhengxian Wei

weizhengxian@sina.com

System Engineering Innovation Center, Systems Engineering Research Institute, China

Li Huangfu

xiaobao2857@sina.com

Science and Technology on Underwater Acoustic Antagonizing Laboratory, China

Feng Xiao

408930027@qq.com

Science and Technology on Underwater Acoustic Antagonizing Laboratory, China
DOI: https://doi.org/10.2478/pomr-2020-0040 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 187 - 198
Published on: Jul 17, 2020
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Acoustic,
Low SNR,
Signal classification,
Feature maintain,
Dimension reduction
Related subjects:
Engineering,
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Engineering, other,
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Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2020 Yang Ju, Zhengxian Wei, Li Huangfu, Feng Xiao, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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