Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
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- Engineering Profession
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Jingxiang Gao
Also published under:Jing-xiang Gao
Affiliation
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
Topic
Carrier Phase,Asia-Pacific Region,Augmented Samples,Carrier Phase Measurements,Complex Background,Convolution Kernel,Coordinate Frame,Dataset Statistics,Deep Learning,Deep Learning Models,Deep Learning-based Methods,Deep Learning-based Models,Design Matrix,Detection Accuracy,Detection Model,Detection Results,Detection Speed,Displacement Increment,Doppler Measurements,Doppler Velocimetry,Dynamic Field,Dynamic Model,Equivalent Weight,Error Model,Error Propagation,False Alarm Rate,Feature Aggregation,Filtering Method,Finite Difference Method,Generalized Cross-validation,Global Information,Global Navigation Satellite System,Global Positioning System,High False Alarm Rate,High-resolution Remote Sensing,Hyperparameter Tuning,Inertial Navigation,Instantaneous Estimation,Instantaneous Velocity,Intersection Over Union,Ionospheric Delay,Kalman Filter,Kernel Learning,Kernel Model,Kernel Weight,Kernel Width,Kinetic Data,Least-squares,Linear Combination,Localization Accuracy,
Biography
Jingxiang Gao received the Ph.D. degree from the China University of Mining and Technology, Xuzhou, China, in 1999. He is currently a Professor with the School of Environment Science and Spatial Informatics, China University of Mining and Technology. He has 40 years of experience in academic research and teaching in satellite navigation and application, engineering surveying and mapping.