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Resilient Sparse Array Radar with the Aid of Deep Learning
In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array.
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing
In many scenarios, the number of defects that we are interested in is limited and the signaling response of the layered structure can be modeled as a low-rank structure.
Defect Detection by MIMO Wireless Sensing based on Weighted Low-Rank plus Sparse Recovery
Here, defects are inside a layered material structure, therefore, due to reflections from the surface of the layered material structure the defect detection is challenging.
Characterization of Dielectric Materials by Sparse Signal Processing with Iterative Dictionary Updates
Since the number of reflections coming from the MUT is limited, we propose sparse signal processing (SSP) to decompose the reflected signal.
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