4 papers
Iterative Atom Refinement: A Monotonicity Principle for Dictionary Learning
Alexander Christie, Miguel Moscoso, Alexei Novikov +2
Dictionary learning seeks to recover an unknown dictionary from observations with sparse coefficient vectors . We introduce the \emph{Iterat…
Imaging with super-resolution in changing random media
Alexander Christie, Matan Leibovich, Miguel Moscoso +3
We develop an imaging algorithm that exploits strong scattering to achieve super-resolution in changing random media. The method processes large and diverse array datasets using sp…
Super-resolution in disordered media using neural networks
Alexander Christie, Matan Leibovich, Miguel Moscoso +3
We propose a methodology that exploits large and diverse data sets to accurately estimate the ambient medium's Green's functions in strongly scattering media. Given these estimates…
Wave-informed dictionary learning for high-resolution imaging in complex media
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
We propose an approach for imaging in scattering media when large and diverse data sets are available. It has two steps. Using a dictionary learning algorithm the first step estima…