IEEE AP-S/URSI 2021
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Session MO-A4.1A
Paper MO-A4.1A.5
MO-A4.1A.5
Deep Learning Based Blind Deconvolution for Geophysical Data Processing
Xuqing Wu, Yuchen Jin, Chenpei Huang, Miao Pan, Jiefu Chen, University of Houston, United States
Session:
Propagation and Wireless Communications I
Track:
AP-S General Topics
Location:
Virtual (Chairs/Speakers to go to Peony Ballroom 4502)
Presentation Time:
Mon, 6 Dec, 09:40 - 10:00 Singapore Time (UTC +8)
Mon, 6 Dec, 02:40 - 03:00 France Time (UTC +1)
Mon, 6 Dec, 01:40 - 02:00 UTC
Sun, 5 Dec, 20:40 - 21:00 New York Time (UTC -5)
Session Co-Chairs:
Costas Sarris, University of Toronto and Zaifeng Yang, Institute of High Performance Computing
Session Manager:
Room R13 Manager
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Session MO-A4.1A
MO-A4.1A.1: Analysis of Empirical Propagation Models in Suburban Areas at 800 MHz and 1.8 GHz
Laercio Mendonca, Federal University of Rio Grande do Norte, Brazil; Bruno Cavalcanti, IFPB - Federal Institute of Education, Science and Technology of Paraíba, Brazil
MO-A4.1A.2: Physics-Informed Machine Learning Models for Indoor Wi-Fi Access Point Placement
Dongfang Cui, Guoli Yang, Shichen Ji, Shuyang Luo, Aristeidis Seretis, Costas Sarris, University of Toronto, Canada
MO-A4.1A.3: Deterministic-Based 5G mmWave Propagation Characterization in Urban Environments
Leyre Azpilicueta, Fidel Alejandro Rodríguez-Corbo, Mikel Celaya-Echarri, Tecnologico de Monterrey, Mexico; Peio Lopez-Iturri, Public University of Navarre, Spain; David G. Michelson, Francisco Falcone, University of British Columbia, Canada
MO-A4.1A.4: Prediction of 28 GHz Millimeter-wave Indoor Propagation Characteristics in a Residential House
Sango Nagamoto, Manabu Omiya, Hokkaido University, Japan
MO-A4.1A.5: Deep Learning Based Blind Deconvolution for Geophysical Data Processing
Xuqing Wu, Yuchen Jin, Chenpei Huang, Miao Pan, Jiefu Chen, University of Houston, United States
MO-A4.1A.6: Machine-Learning-Assisted Modeling of Millimeter-Wave Channels
Peize Zhang, Cheng Yi, Haiming Wang, Southeast University, China
MO-A4.1A.7: Measurements of 3.5 GHz OAM Misaligned Channels in Indoor Corridor Scenarios
Yang Wang, Panpan Shi, Xi Liao, Tao Hu, Chongqing University of Posts and Telecommunications, China; Jiliang Zhang, Alan Tennant, University of Sheffield, United Kingdom
MO-A4.1A.8: Projection-assisted Indoor Attenuation Parameter Compression based on Curve Fitting
Meng Gao, Xiaolong Yang, Mu Zhou, Chongqing University of Posts and Telecommunications, China
MO-A4.1A.9: A high-speed railway channel measurement scheme based on 5G signal
Yabo Wang, Jianwen Ding, Jia Yu, Dan Fei, Beijing Jiaotong University, China; Zhiping Chen, Zhongxing Telecom Equipment, China
MO-A4.1A.10: Intermediary Objective Based Optimization Method for Field Focusing through an Inhomogeneous Medium
Shang Guo, Deshuang Zhao, University of Electronic Science and Technology of China, China
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