Hierarchical Cosine Similarity Entropy for Feature Extraction of Ship-Radiated Noise [PDF]
Entropy, 2018 The classification performance of passive sonar can be improved by extracting the features of ship-radiated noise. Traditional feature extraction methods neglect the nonlinear features in ship-radiated noise, such as entropy.
Zhe Chen +3 more
doaj +5 more sources
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
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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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A New Ship-Radiated Noise Feature Extraction Technique Based on Variational Mode Decomposition and Fluctuation-Based Dispersion Entropy [PDF]
Entropy, 2019 Sea environment complexity and underwater acoustic channels make it hard to extract features of ship-radiated noise signals. This paper presents a novel feature extraction method using the advantages of variational mode decomposition (VMD), fluctuation ...
Hong Yang, Ke Zhao, Guohui Li
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Resonance-Based Time-Frequency Manifold for Feature Extraction of Ship-Radiated Noise [PDF]
Sensors, 2018 In this paper, a novel time-frequency signature using resonance-based sparse signal decomposition (RSSD), phase space reconstruction (PSR), time-frequency distribution (TFD) and manifold learning is proposed for feature extraction of ship-radiated noise,
Jiaquan Yan +4 more
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Feature Extraction of Ship-Radiated Noise Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD, Mutual Information, and Differential Symbolic Entropy [PDF]
Entropy, 2019 To improve the recognition accuracy of ship-radiated noise, a feature extraction method based on regenerated phase-shifted sinusoid-assisted empirical mode decomposition (RPSEMD), mutual information (MI), and differential symbolic entropy (DSE) is ...
Guohui Li, Zhichao Yang, Hong Yang
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Feature Extraction of Ship-Radiated Noise Based on Intrinsic Time-Scale Decomposition and a Statistical Complexity Measure [PDF]
Entropy, 2019 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.
Junxiong Wang, Zhe Chen
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Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise [PDF]
Sensors, 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.
Hamada Esmaiel +5 more
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Ship Radiated Noise Recognition Technology Based on ML‐DS Decision Fusion [PDF]
Computational Intelligence and Neuroscience, 2021 Ship radiated noise is an important information source of underwater acoustic targets, and it is of great significance to the identification and classification of ship targets. However, there are a lot of interference noises in the water, which leads to the reduction of the model recognition rate.
Biao Wang 0002 +5 more
openaire +3 more sources
A Novel Improved Feature Extraction Technique for Ship-Radiated Noise Based on IITD and MDE [PDF]
Entropy (Basel), 2019 Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary information characteristics, which can reflect the important signs of ship performance.
Yaan Li +3 more
core +2 more sources