Results 21 to 30 of about 217,231 (290)
Modified Green's Functions for Shallow Water Acoustic Wave Propagation [PDF]
, 2004 This article presents an assessment of alternative forms of the Green’s function for boundary element simulations of acoustic wave propagation in shallow water. It is assumed that the problem is two-dimensional, the source of acoustic disturbance is time-
Santiago, J A F S, Wrobel, L C
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An extended Levinson-Durbin algorithm and its application in mixed excitation linear prediction
Heliyon, 2018 Ten order all-pole model is used in the 2400 bit/second mixed excitation linear prediction to describe human vocal tract. Traditional Levinson-Durbin algorithm is one of the methods to solve the Yule-Walker equations conducted by the ten order linear ...
Dong Xiao +4 more
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Underwater Acoustic Research Trends with Machine Learning: General Background
한국해양공학회지, 2020 Underwater acoustics that is the study of the phenomenon of underwater wave propagation and its interaction with boundaries, has mainly been applied to the fields of underwater communication, target detection, marine resources, marine environment, and ...
Haesang Yang +3 more
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Journal of Marine Science and Engineering, 2021 The interdisciplinary field of assessing the impacts of sound on marine life has benefited largely from the advancement of underwater acoustics that occurred after World War II.
Shane Guan +2 more
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Deep Differential Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution.
Peng Liu, Ying Hong, Yan Liu
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Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder
EURASIP Journal on Advances in Signal Processing, 2022 Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods, the main challenges are the inevitable environmental mismatch and the presence of interference and noise ...
Pian Jin +4 more
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A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 Recently, the methods based on deep convolutional neural networks have shown superior performance on image restoration. By using a faster and deeper network, the existing methods have achieved the breakthroughs in speed and accuracy. But, they still work
Peng Liu, Ying Hong, Yan Liu
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Multi-Branch Deep Residual Network for Single Image Super-Resolution
Algorithms, 2018 Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
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CDMA for Underwater Acoustic Communication
CoRR, 2021 This paper provides an overview of how and why acoustic waves are important for underwater communication when compared with radio and optical waves, underwater acoustic channel, it's characteristics and model. Also about the underwater sensor architecture, challenges faced by sensor nodes in the network and Media Acess Control(MAC) protocol solutions ...
Lokesh Bommisetty +4 more
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Underwater Acoustics and Cavitating Flow of Water Entry
, 2004 The fluid mechanics of water entry is studied through investigating the underwater acoustics and the supercavitation. Underwater acoustic signals in water entry are extensively measured at about 30 different positions by using a PVDF needle hydrophone ...
Kume M, 施红辉
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