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Model scale measurements of surface ship radiated flow noise [PDF]

, 2009
Advances in weapon and sensor capabilities are driving an increased interest in the control of underwater signatures of naval platforms. The control of machinery and propeller noise is well understood, but there is a shortfall of knowledge of the mechanisms that govern noise due to the flow around the hull of a surface ship.
Jong, C.A.F. de, Bosschers, J., Hasenpflug, H.   +2 more
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Improved Pitch Shifting Data Augmentation for Ship Radiated Noise Classification

Applied Acoustics, 2023
Xu Yuanchao, Cai Zhiming, Kong Xiaopeng
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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

Measurement: Journal of the International Measurement Confederation, 2022
Guohui Li
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Timbre Transfer for Ship Radiated Noise

2025 33rd European Signal Processing Conference (EUSIPCO)
Nils Müller, Jens Reermann, Tobias Meisen   +2 more
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Integrated optimization of underwater acoustic ship-radiated noise recognition based on two-dimensional feature fusion

Applied Acoustics, 2020
Fei Yuan, En Cheng
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A comparative study of four multi-scale entropies combined with grey relational degree in classification of ship-radiated noise

Applied Acoustics, 2021
Yuxing Li, Shangbin Jiao, Bo Geng
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Underwater acoustic target recognition based on spectrum component analysis of ship radiated noise

Applied Acoustics, 2023
Pengsen Zhu, Yonggang Zhang, Yulong Huang   +2 more
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MobileViNeXt: a lightweight fusion model for ship-radiated noise recognition

Multimedia Systems
Ming Chen, Feng Wang, Chaofeng Cao, Hongwei Chen, Yangze Dong   +4 more
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An improved method for extracting the characteristics of ship radiation noise

2024 3rd International Conference on Electronics and Information Technology (EIT)
Yu Luo, Fangzheng Ning, Dongdong Peng, Guowei Lv   +3 more
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Selection of the Optimal Wavelet Base for ship radiated noise analysis

2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2014
Lin Chen, Zengli Liu, Wei Wang
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