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cs.IT2023
Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk, Simone Brugiapaglia, Yaniv Plan +3
We study generative compressed sensing when the measurement matrix is randomly subsampled from a unitary matrix (with the DFT as an important special case). It was recently shown t…
cs.IT2020
Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs
Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung +1
We study sparse recovery with structured random measurement matrices having independent, identically distributed, and uniformly bounded rows and with a nontrivial covariance struct…