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The Journal of the Acoustical Society of America|April 13, 2026
Physics-based and data-driven joint approach for low-frequency underwater acoustic field predictiona)Xiao Feng, Cheng Chen, Kunde Yang
The Journal of the Acoustical Society of America|September 2, 2019
Mapping sea surface observations to spectra of underwater ambient noise through self-organizing map methodYing Zhang, Kunde Yang, Qiulong Yang, et al.
The Journal of the Acoustical Society of America|May 4, 2020
A denoising representation framework for underwater acoustic signal recognitionXingyue Zhou, Kunde Yang
The Journal of the Acoustical Society of America|November 2, 2019
Deep learning classification for improved bicoherence feature based on cyclic modulation and cross-correlationKunde Yang, Xingyue Zhou
IEEE Transactions on Neural Networks and Learning Systems|April 20, 2017
On the Impact of Regularization Variation on Localized Multiple Kernel LearningYina Han, Kunde Yang, Yixin Yang, et al.
JASA Express Letters|January 23, 2026
Study on the rapid prediction method of regional acoustic propagation fields using deep neural networksChuxiong Wang, Cheng Chen, Xiao Feng, et al.
The Journal of the Acoustical Society of America|June 1, 2022
Robust shallow water reverberation reduction methods based on low-rank and sparsity decompositionYunchao Zhu, Rui Duan, Kunde Yang
The Journal of the Acoustical Society of America|September 3, 2024
Segmented propagation model for the paths and travel times of surface duct leaky signalsGuangyu Gong, Rui Duan, Kunde Yang
The Journal of the Acoustical Society of America|July 3, 2016
Passive localization in the deep ocean based on cross-correlation function matchingZhixiong Lei, Kunde Yang, Yuanliang Ma
The Journal of the Acoustical Society of America|May 4, 2020
Probability density function of ocean noise based on a variational Bayesian Gaussian mixture modelYing Zhang, Kunde Yang, Qiulong Yang
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