1 citations · 1 across the 3 of their papers we have counts for
6 papers
Recovery of Binary Sparse Signals from Structured Biased Measurements
Sandra Keiper
In this paper we study the reconstruction of binary sparse signals from partial random circulant measurements. We show that the reconstruction via the least-squares algorithm is as…
Recovery of Binary Sparse Signals with Biased Measurement Matrices
Axel Flinth, Sandra Keiper
This work treats the recovery of sparse, binary signals through box-constrained basis pursuit using biased measurement matrices. Using a probabilistic model, we provide conditions…
Approximation of Generalized Ridge Functions in High Dimensions
Sandra Keiper
This paper studies the approximation of generalized ridge functions, namely of functions which are constant along some submanifolds of . We introduce the notion of li…
Compressed Sensing for Finite-Valued Signals
Sandra Keiper, Gitta Kutyniok, Dae Gwan Lee +1
The need of reconstructing discrete-valued sparse signals from few measurements, that is solving an undetermined system of linear equations, appears frequently in science and engin…
-Molecules
Philipp Grohs, Sandra Keiper, Gitta Kutyniok +1
Within the area of applied harmonic analysis, various multiscale systems such as wavelets, ridgelets, curvelets, and shearlets have been introduced and successfully applied. The ke…
Cartoon Approximation with -Curvelets
Philipp Grohs, Sandra Keiper, Gitta Kutyniok +1
It is well-known that curvelets provide optimal approximations for so-called cartoon images which are defined as piecewise -functions, separated by a singularity curve.…