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, Li Yaan
exaly +4 more sources
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.
Yaan Li, Wasiq Ali, Jing Yu
exaly +4 more sources
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
exaly +4 more sources
Refined Composite Multi-Scale Reverse Weighted Permutation Entropy and Its Applications in Ship-Radiated Noise. [PDF]
Entropy (Basel), 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)
Li Y, Geng B, Jiao S.
europepmc +2 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
exaly +3 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 ...
Zexun Wei, Wei Zexun
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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
exaly +3 more sources
AEJ - 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
Yuanxun Cheng, Guohui Li
exaly +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 ...
Xiaomei Fu, Qingji Zhou, Liu Shuai
exaly +3 more sources
Joint Representation and Recognition for Ship-Radiated Noise Based on Multimodal Deep Learning
Journal of Marine Science and Engineering, 2019 Ship recognition based on ship-radiated noise is one of the most important and challenging subjects in underwater acoustic signal processing. The recognition methods for ship-radiated noise recognition include traditional methods and deep learning (DL ...
Fei Yuan, En Cheng, Fei Yuan
exaly +3 more sources