17 citations · 79 across the 23 of their papers we have counts for
27 papers
Dictionary Learning for the Almost-Linear Sparsity Regime
Alexei Novikov, Stephen White
Dictionary learning, the problem of recovering a sparsely used matrix and -sparse vectors from sam…
Quantitative phase and absorption contrast imaging
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
We present an algorithm for coherent diffractive imaging with phaseless measurements. It treats the forward model as a combination of coherent and incoherent waves. The algorithm r…
An oscillator driven by algebraically decorrelating noise
Christophe Gomez, Gautam Iyer, Hai Le +1
We consider a stochastically forced nonlinear oscillator driven by a stationary Gaussian noise that has an algebraically decaying covariance function. It is well known that such no…
Thresholding Greedy Pursuit for Sparse Recovery Problems
Hai Le, Alexei Novikov
We study here sparse recovery problems in the presence of additive noise. We analyze a thresholding version of the CoSaMP algorithm, named Thresholding Greedy Pursuit (TGP). We dem…
Support Recovery for Sparse Multidimensional Phase Retrieval
Alexei Novikov, Stephen White
We consider the \textit{phase retrieval} problem of recovering a sparse signal in from intensity-only measurements in dimension . Phase retrie…
Fast signal recovery from quadratic measurements
Miguel Moscoso, Alexei Novikov, George Papanicolaou +1
We present a novel approach for recovering a sparse signal from cross-correlated data. Cross-correlations naturally arise in many fields of imaging, such as optics, holography and…