A Feature Extraction Method of Ship-Radiated Noise Based on Fluctuation-Based Dispersion Entropy and Intrinsic Time-Scale Decomposition [PDF]
Entropy, 2019 To improve the feature extraction of ship-radiated noise in a complex ocean environment, fluctuation-based dispersion entropy is used to extract the features of ten types of ship-radiated noise.
Zhaoxi Li, Yaan Li, Kai Zhang
doaj +5 more sources
A New Method of Ship Type Identification Based on Underwater Radiated Noise Signals
Journal of Marine Science and Engineering, 2023 Ship type identification is an important basis for ship management and monitoring. The paper proposed a new method of ship type identification by combining characteristic parameters from the energy difference between high and low frequencies and the ...
Shanshan Chen +4 more
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Refined Composite Multi-Scale Reverse Weighted Permutation Entropy and Its Applications in Ship-Radiated Noise [PDF]
Entropy, 2021 Ship-radiated noise is one of the important signal types under the complex ocean background, which can well reflect physical properties of ships. As one of the valid measures to characterize the complexity of ship-radiated noise, permutation entropy (PE)
Yuxing Li, Bo Geng, Shangbin Jiao
doaj +3 more sources
Remote Sensing, 2023 Fine-grained ship-radiated noise recognition methods of different specific ships are in demand for maritime traffic safety and general security. Due to the high background noise and complex transmission channels in the marine environment, the accurate ...
Shuai Liu +6 more
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Alexandria Engineering Journal, 2021 Ship radiated noise denoising is the basis and premise of underwater acoustic signal processing. To obtain better denoising effect, a new denoising method for ship radiated noise based on Spearman variational mode decomposition (SVMD), spatial-dependence
Hong Yang, Yuanxun Cheng, Guohui Li
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A Comparative Study of Multiscale Sample Entropy and Hierarchical Entropy and Its Application in Feature Extraction for Ship-Radiated Noise [PDF]
Entropy, 2019 The presence of marine ambient noise makes it difficult to extract effective features from ship-radiated noise. Traditional feature extraction methods based on the Fourier transform or wavelets are limited in such a complex ocean environment.
Weijia Li, Xiaohong Shen, Yaan Li
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Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise. [PDF]
Sensors (Basel), 2021 Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise (SRN) detected using a passive sonar tends mostly to distort. SRN feature extraction has been proposed to improve the detected passive sonar signal. Unfortunately, the current methods used in SRN feature extraction have many shortcomings.
Esmaiel H +5 more
europepmc +5 more sources
IEEE Access, 2021 In the field of underwater acoustic signal processing, the ship radiated noise contains a large amount of ship information, which is of great significance to the ship identification.
Zhufeng Lei +5 more
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A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy [PDF]
Entropy, 2019 Extracting useful features from ship-radiated noise can improve the performance of passive sonar. The entropy feature is an important supplement to existing technologies for ship classification.
Zhe Chen +5 more
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A novel feature extraction method for ship-radiated noise
Defence Technology, 2022 To improve the feature extraction of ship-radiated noise in a complex ocean environment, a novel feature extraction method for ship-radiated noise based on complete ensemble empirical mode decomposition with adaptive selective noise (CEEMDASN) and ...
Hong Yang +3 more
doaj +3 more sources