141 citations · 350 across the 16 of their papers we have counts for
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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…
Imaging with highly incomplete and corrupted data
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
We consider the problem of imaging sparse scenes from a few noisy data using an -minimization approach. This problem can be cast as a linear system of the form , whe…
Synthetic aperture imaging with intensity-only data
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
We consider imaging the reflectivity of scatterers from intensity-only data recorded by a single moving transducer that both emits and receives signals, forming a synthetic apertur…