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eess.SP2019★ 7 cited
The Noise Collector for sparse recovery in high dimensions
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
The ability to detect sparse signals from noisy high-dimensional data is a top priority in modern science and engineering. A sparse solution of the linear system can be…
eess.SP2019
Low rank plus sparse decomposition of synthetic aperture radar data for target imaging and tracking
Matan Leibovich, George Papanicolaou, Chrysoula Tsogka
We analyze synthetic aperture radar (SAR) imaging of complex ground scenes that contain both stationary and moving targets. In the usual SAR acquisition scheme, we consider ways to…