Results 21 to 30 of about 1,348,870 (188)
Research on Feature Extraction of Ship-Radiated Noise Based on Multiscale Fuzzy Dispersion Entropy
In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important ...
Yuxing Li +3 more
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Ship Radiated Noise Recognition Using Resonance-Based Sparse Signal Decomposition [PDF]
Under the complex oceanic environment, robust and effective feature extraction is the key issue of ship radiated noise recognition. Since traditional feature extraction methods are susceptible to the inevitable environmental noise, the type of vessels ...
Jiaquan Yan +4 more
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A Survey on Machine Learning in Ship Radiated Noise
The utilization of machine learning in analyzing ship radiated noise (SR-N) is undergoing rapid evolution. Because the omnipresent background noise strongly depends on the highly variable environment, the application of such techniques poses challenges. Furthermore, publicly available labeled datasets are scarce.
RD van der Mei, Sandjai Bhulai
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Data augmentation and deep neural network classification based on ship radiated noise
IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation.
Zhuofan Xie +10 more
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In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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Analysis of the Underwater Radiated Noise Generated by Hull Vibrations of the Ships
Shipping traffic is recognised as the main man-noise source of the anthropogenic noise generated in the marine environment. The underwater acoustic pollution is increased due to the increment of the human activity at seas supposing a threat for marine ...
Rodrigo F. Javier +4 more
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In view of the problem that the features of ship-radiated noise are difficult to extract and inaccurate, a novel method based on variational mode decomposition (VMD), multi-scale permutation entropy (MPE) and a support vector machine (SVM) is proposed to
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
doaj +2 more sources
To improve the quality of detection of envelope modulation on noise (DEMON) spectra extracted from ship-radiated noise under noisy conditions, a noise-robust DEMON spectrum extraction method incorporating adaptive decomposition and sparse reconstruction ...
Zikai Wang +3 more
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Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks
Ship-radiated noise is the main basis for ship detection in underwater acoustic environments. Due to the increasing human activity in the ocean, the captured ship noise is usually mixed with or covered by other signals or noise. On the other hand, due to
Ruiping Song +5 more
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A Novel Improved Feature Extraction Technique for Ship-Radiated Noise Based on IITD and MDE [PDF]
Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary information characteristics, which can reflect the important signs of ship performance.
Li Z, Li Y, Zhang K, Guo J.
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