5 citations · 5 across the 6 of their papers we have counts for
6 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…
Statistical Arbitrage in Rank Space
Y. -F. Li, G. Papanicolaou
Equity market dynamics are conventionally investigated in name space, where stocks are indexed by company names. However, this perspective often suffers from high volatility and a…
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…
Time and direction of arrival detection and filtering for imaging in strongly scattering random media
Liliana Borcea, George Papanicolaou, Chrysoula Tsogka
We study detection and imaging of small reflectors in heavy clutter, using an array of transducers that emits and receives sound waves. Heavy clutter means that multiple scattering…