Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Polish Maritime Research
Volume 27 (2020): Issue 2 (June 2020)
Open Access
A New Low SNR Underwater Acoustic Signal Classification Method Based on Intrinsic Modal Features Maintaining Dimensionality Reduction
Yang Ju
Yang Ju
,
Zhengxian Wei
Zhengxian Wei
,
Li Huangfu
Li Huangfu
and
Feng Xiao
Feng Xiao
| Jul 17, 2020
Polish Maritime Research
Volume 27 (2020): Issue 2 (June 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jul 17, 2020
Page range:
187 - 198
DOI:
https://doi.org/10.2478/pomr-2020-0040
Keywords
Acoustic
,
Low SNR
,
Signal classification
,
Feature maintain
,
Dimension reduction
© 2020 Yang Ju et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Yang Ju
Science and Technology on Underwater Acoustic Antagonizing Laboratory,
China
Zhengxian Wei
System Engineering Innovation Center, Systems Engineering Research Institute
China
Li Huangfu
Science and Technology on Underwater Acoustic Antagonizing Laboratory,
China
Feng Xiao
Science and Technology on Underwater Acoustic Antagonizing Laboratory,
China