In this talk, we explore the performance limits of recovering structured signals from low-dimensional linear projections, using tools from high dimensional convex geometry. In particular, we focus on two signal reconstruction applications: a total variation minimization for recovering gradient-sparse signals and a low-rank Hankel matrix completi...
Creator:
Xu, Weiyu (The University of Iowa)
Created:
2016-01-28
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.