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Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.107057
Abstract: Abstract Feature fusion methods are introduced to ship-radiated noise recognition in this paper. Wavelet packet (WP) decomposition is used to decompose the ship-radiated noise into multiple different subbands. By considering the features extracted from the…
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Keywords:
recognition;
ship radiated;
radiated noise;
feature fusion ... See more keywords
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Published in 2020 at "Defence Technology"
DOI: 10.1016/j.dt.2020.11.011
Abstract: Abstract Refined composite multi-scale dispersion entropy (RCMDE), as a new and effective nonlinear dynamic method, has been applied in the field of medical diagnosis and fault diagnosis. In this paper, we first introduce RCMDE into…
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Keywords:
classification;
knn;
multi scale;
ship radiated ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3113042
Abstract: 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. The traditional method relies too much on…
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Keywords:
ship;
ship radiated;
feature extraction;
center frequency ... See more keywords
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Published in 2019 at "Entropy"
DOI: 10.3390/e21111079
Abstract: Extracting effective features from ship-radiated noise is an important way to improve the detection and recognition performance of passive sonar. Complexity features of ship-radiated noise have attracted increasing amounts of attention. However, the traditional definition…
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Keywords:
statistical complexity;
complexity;
time;
complexity measure ... See more keywords
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Published in 2020 at "Entropy"
DOI: 10.3390/e22040374
Abstract: Due to the diversity of ship-radiated noise (SRN), audio segmentation is an essential procedure in the ship statuses/categories identification. However, the existing segmentation methods are not suitable for the SRN because of the lack of…
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Keywords:
segmentation;
method;
ship radiated;
radiated noise ... See more keywords