Multichannel myopic deconvolution in underwater acoustic channelsvialow-rank recovery

Author:

Tian Ning1,Byun Sung-Hoon2,Sabra Karim3,Romberg Justin1

Affiliation:

1. School of Electrical and Computer Engineering, Georgia Institute of Technology, North Avenue, Atlanta, Georgia 30332, USA

2. Korea Research Institute of Ships and Ocean Engineering, 32 1312beon-gil Yuseong-daero, Yuseong-gu, Daejeon, 34103, Korea

3. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, North Avenue, Atlanta, Georgia 30332, USA

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multisource Target Classification Based on Underwater Channel Cepstral Features;Journal of Ocean University of China;2022-06-20

2. Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently;IEEE Transactions on Information Theory;2021-07

3. Blind deconvolution of sources of opportunity in ocean waveguides using bilinear channel models;The Journal of the Acoustical Society of America;2020-10

4. Phase retrieval of low-rank matrices by anchored regression;Information and Inference: A Journal of the IMA;2020-09-24

5. Blind Deconvolution Using Modulated Inputs;IEEE Transactions on Signal Processing;2020

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