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Hybrid local-global representation learning with stochastic Gaussian classification for underwater acoustic target recognition. [PDF]
Yang C +7 more
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A Fast Prediction Method for Wide-Angle Bistatic Scattering and Reflection Coefficients of Acoustically Coated Plates. [PDF]
Zhang Y, Peng Z, Tan L, Wu S, Lv E.
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Simulation of Dynamic Ship Radiated Noise Signal
2020 15th IEEE International Conference on Signal Processing (ICSP), 2020The total intensity and the spectral distribution of ship’s radiated noise signal changes dynamically as the ship navigates. Conventional static simulation methods are focused on exhibiting non-changing or fixed patterns of signal’s characteristics.
Yuan ZHENG, Bin JIANG, Gang YANG
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Pseudo Ship-radiated Noise Generation Based on Adversarial Learning
2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2021The demand for acoustic positioning is increasing in various fields, meanwhile, it is very important to disturb acoustic positioning for underwater acoustics countermeasure and ship stealth technology. In this paper, a one-dimensional (ID) deep neural network based on adversarial learning to generate pseudo ship-radiated noises is presented, and a ID ...
Yanmiao Li +3 more
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Control of Ship Radiated Underwater Noise
OCEANS 2019 MTS/IEEE SEATTLE, 2019As human activity in the oceans has grown and scientific understanding of underwater noise has increased, it has been generally accepted that the growth of anthropogenic noise in the ocean has acute, chronic, and cumulative impacts on marine species, most notably marine mammals who depend on sound for foraging, breeding, predator avoidance, navigation,
Yanran Wang, Kai Abrahamsen
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Research on identification technology of ship radiated noise and marine biological noise
2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2017The vocal mechanism and structure of ship radiated noise and marine biological noise are analyzed, and the differences of short-term inter-frame spectral similarity between the two kinds of noise are compared. On the basis of this, Pearson correlation coefficient variance of the spectral trend of the adjacent two frames in the short term of the framing
Weizheng Zhang +3 more
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Simulation model of ship-radiated broadband noise
2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2011In this thesis, the statistical characteristics of ship-radiated noise are discussed. Then, a mathematical model of the noise reconstruction is established for given sea depth and straight distance. The model includes the main characteristics of ship-radiated broadband noise: the continuous power spectrum, the line spectrum, the envelope spectrum, the ...
Jian Luo, Yi Yang
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Merchant ship-radiated noise source levels.
The Journal of the Acoustical Society of America, 2011Ship-radiated noise is the principal source of noise in the 20–300 Hz frequency regime. This presentation provides a review of the issues relating to measuring ship-radiated noise source levels and predicting the source levels from ship parameters.
Stephen C. Wales, Richard M. Heitmeyer
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Periodic Signal Detection in Ship Radiated Noise
Advanced Materials Research, 2014Periodic signal is abundant in ship radiated noise. Its detection is an important step towards active control of ship’s acoustic signature. Based on power spectrum analysis and DEMON analysis, an approach to detect line spectrum and modulation spectrum of ship radiated noise is proposed. Periodogram method is used for power spectrum estimation.
Cheng Jun Hu, Yuan Zheng, Han Bo Zhao
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Characteristics Modeling and Simulation of Ship-Radiated Noise
Advanced Materials Research, 2012Since the importance of ship-radiated noise simulation in onshore simulation training and digital sonar development, we establish a mathematical model of ship-radiated noise on the basis of analyzing the causes and characteristics for each of its components, and then apply the model on simulating each signal component in turn.
Hui Xu, Hai Qiao Xu, Bi Yin Zhang
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