Results 111 to 120 of about 1,348,870 (188)

Adaptive Hoyer-L-Moment Envelope Spectrum: A Method for Robust Demodulation of Ship-Radiated Noise in Low-SNR Environments. [PDF]

Sensors (Basel)
Zhang R, Wang Q, Du S.
europepmc   +1 more source

Deep-water measurements of container ship radiated noise signatures and directionality. [PDF]

J Acoust Soc Am, 2017
Gassmann M, Wiggins SM, Hildebrand JA.
europepmc   +1 more source

Prediction of the noise level generated by the turbulent boundary layer on board a fast ship

, 2006
Recent studies have demonstrated that wall pressure fluctuations generated by the turbulent boundary layer (TBL) on a ship hull can be an important noise source for new generation of high speed vessels.
Ciappi E, Magionesi F
core  

Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient. [PDF]

Sensors (Basel), 2017
Li Y, Li Y, Chen X, Yu J.
europepmc   +1 more source

Measurement and assessment method for ship radiating transient noise [PDF]

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017), 2017
Jun Long, SHeng-guo Shi, Wen-sHuai Liu, Tong-kui Yu   +3 more
openaire   +1 more source

Identification of shipping signals with few-shot learning: A distribution-aware approach. [PDF]

PLoS One
Kim BK, Cho S, Kim S, Kim H, Jin YJ, Choi HT, Chang WD.   +6 more
europepmc   +1 more source

Ship Radiated Noise Measurement Methods and Accuracy Analysis [PDF]

Transactions of the Korean Society for Noise and Vibration Engineering, 2005
openaire   +1 more source

Frequency-Domain Second-Order Decorrelation with Compact Time-Domain Regularization for Convolutive Underwater Acoustic Source Separation. [PDF]

Sensors (Basel)
Cao H, Yang T, He Q, Yiu KC.
europepmc   +1 more source

A Rapid Prediction Method for Underwater Vehicle Radiated Noise Based on Feature Selection and Parallel Residual Neural Network. [PDF]

Sensors (Basel)
Ji F, Li Z, Feng W, Shi M, Ji X.
europepmc   +1 more source

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]

Sci Rep
Mahmud NA, Zhang T, Iqbal Y, Sumona FB, Iqbal A, Geng Y, Khan W, Zneid BA, Zaitsev I.   +8 more
europepmc   +1 more source