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Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks
However, there have been limited research on the complexity of such deep learning models.
Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections
In this paper, we explore the possibility of using a reconfigurable intelligent surface in order to disrupt the ability of an unintended receiver to geolocate the source of transmitted signals in a 5G communication system.
Probabilistic Receiver Architecture Combining BP, MF, and EP for Multi-Signal Detection
We then develop a low-complexity variant to the proposed construction in which Gaussian BP is applied to the equalization factors.
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