Research on feature extraction method of ship radiated noise with K-nearest neighbor mutual information variational mode decomposition, neural network estimation time entropy and self-organizing map neural network-Reference-Cited by-同舟云学术

Research on feature extraction method of ship radiated noise with K-nearest neighbor mutual information variational mode decomposition, neural network estimation time entropy and self-organizing map neural network

Published:2022-08 Issue: Volume:199 Page:111446
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Guohui,Liu Feng,Yang Hong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference65 articles.

1. Blind detection of underwater acoustic communication signals based on deep learning;Li;IEEE Access,2020

2. A novel feature extraction method for ship-radiated noise;Yang;Defence Technol.,2022

3. Feature extraction method for ship-radiated noise based on extreme-point symmetric mode decomposition and dispersion entropy;Li;Indian J. Geo- Marine Sci.,2020

4. Theoretical model and simulation of ship underwater radiated noise;Sun;Acta Physica Sinica,2016

5. Spatial topological analysis model of ship encounter space;Liu;Ocean Eng.,2020

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