63 citations · 84 across the 5 of their papers we have counts for
5 papers
A manifold learning approach for gesture recognition from micro-Doppler radar measurements
Eric Mason, Hrushikesh Mhaskar, Adam Guo
A recent paper (Neural Networks, {\bf 132} (2020), 253-268) introduces a straightforward and simple kernel based approximation for manifold learning that does not require the knowl…
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization
Sean Thammakhoune, Bariscan Yonel, Eric Mason +2
In this paper, we present an approach for ground moving target imaging (GMTI) and velocity recovery using synthetic aperture radar. We formulate the GMTI problem as the recovery of…
Deep Learning for Waveform Estimation and Imaging in Passive Radar
Bariscan Yonel, Eric Mason, Birsen Yazici
We consider a bistatic configuration with a stationary transmitter transmitting unknown waveforms of opportunity and a moving receiver, and present a Deep Learning (DL) framework f…
Performance Analysis of Convex LRMR based Passive SAR Imaging
Eric Mason, Birsen Yazici
Passive synthetic aperture radar (SAR) uses existing signals of opportunity such as communication and broadcasting signals. In our prior work, we have developed a low-rank matrix r…
Deep Learning for Passive Synthetic Aperture Radar
Bariscan Yonel, Eric Mason, Birsen Yazıcı
We introduce a deep learning (DL) framework for inverse problems in imaging, and demonstrate the advantages and applicability of this approach in passive synthetic aperture radar (…