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A manifold learning approach for gesture recognition from micro-Doppler radar measurements
To demonstrate the fact that our methods are agnostic to the domain knowledge, we examine the classification problem in a simple video data set.
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization
In this paper, we present an approach for ground moving target imaging (GMTI) and velocity recovery using synthetic aperture radar.
Deep Learning for Passive Synthetic Aperture Radar
Specifically, we design a recurrent neural network (RNN) architecture as an inverse solver based on the iterations of proximal gradient descent optimization methods.
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