3 papers
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…
cs.IT2019
Quantized Compressed Sensing by Rectified Linear Units
Hans Christian Jung, Johannes Maly, Lars Palzer +1
This work is concerned with the problem of recovering high-dimensional signals which belong to a convex set of low-complexity from a small number of q…
cs.IT2017
One-bit compressed sensing with partial Gaussian circulant matrices
Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut
In this paper we consider memoryless one-bit compressed sensing with randomly subsampled Gaussian circulant matrices. We show that in a small sparsity regime and for small enough a…