Chalmers University of Technology
Whole organizationShowing 17 publications
Spatial Signal Design for Positioning via End-to-End Learning
Autoencoders for Physical-Layer Communications: Approaches and Applications
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
End-to-End Learning for Integrated Sensing and Communication
Learning Optimal PAM Levels for VCSEL-based Optical Interconnects
Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning
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Project | Department | Years |
---|---|---|
6G Artificial Intelligence Radar | Electrical Engineering | 2021–2023 |