4 papers
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…
Computational approaches to non-convex, sparsity-inducing multi-penalty regularization
Zeljko Kereta, Johannes Maly, Valeriya Naumova
In this work we consider numerical efficiency and convergence rates for solvers of non-convex multi-penalty formulations when reconstructing sparse signals from noisy linear measur…
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds
Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg +1
This paper studies the problem of recovering a signal from one-bit compressed sensing measurements under a manifold model; that is, assuming that the signal lies on or near a manif…
Analysis of Hard-Thresholding for Distributed Compressed Sensing with One-Bit Measurements
Johannes Maly, Lars Palzer
A simple hard-thresholding operation is shown to be able to recover signals that share a common support of size from $m = \…