49 citations · 179 across the 33 of their papers we have counts for
4 papers · 1 filter
A Geometrical Stability Condition for Compressed Sensing
Axel Flinth
During the last decade, the paradigm of compressed sensing has gained significant importance in the signal processing community. While the original idea was to utilize sparsity ass…
Optimal Choice of Weights for Sparse Recovery With Prior Information
Axel Flinth
Compressed sensing deals with the recovery of sparse signals from linear measurements. Without any additional information, it is possible to recover an -sparse signal using $m \…
Multivariate -molecules
Axel Flinth, Martin Schäfer
The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropi…
Phase Retrieval from Gabor Measurements
Irena Bojarovska, Axel Flinth
Compressed sensing investigates the recovery of sparse signals from linear measurements. But often, in a wide range of applications, one is given only the absolute values (squared)…