10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.IT2021★ 10 cited
Blind Super-resolution of Point Sources via Projected Gradient Descent
Sihan Mao, Jinchi Chen
Blind super-resolution can be cast as a low rank matrix recovery problem by exploiting the inherent simplicity of the signal and the low dimensional structure of point spread funct…
cs.IT2021
Blind Super-resolution via Projected Gradient Descent
Sihan Mao, Jinchi Chen
Blind super-resolution can be cast as low rank matrix recovery problem by exploiting the inherent simplicity of the signal. In this paper, we develop a simple yet efficient nonconv…
cs.IT2020★ 2 cited
Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources
Jinchi Chen, Weiguo Gao, Sihan Mao +1
We consider the problem of resolving point sources from samples at the low end of the spectrum when point spread functions (PSFs) are not known. Assuming that the spectrum…