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Found 2 papers, 1 papers with code
Cramér-Rao Bound Analysis of Radars for Extended Vehicular Targets with Known and Unknown Shape
In this work, we first devise a mathematically tractable analytical model for a vehicle with arbitrary shape, modeled as an extended target parameterized by the center position, the orientation (heading) and the perimeter contour.
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning
Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel.
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