559 citations · 1.5k across the 55 of their papers we have counts for
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Refined analysis of sparse MIMO radar
Dominik Dorsch, Holger Rauhut
We analyze a multiple-input multiple-output (MIMO) radar model and provide recovery results for a compressed sensing (CS) approach. In MIMO radar different pulses are emitted by se…
Conjugate gradient acceleration of iteratively re-weighted least squares methods
Massimo Fornasier, Steffen Peter, Holger Rauhut +1
Iteratively Re-weighted Least Squares (IRLS) is a method for solving minimization problems involving non-quadratic cost functions, perhaps non-convex and non-smooth, which however…
Stable low-rank matrix recovery via null space properties
Maryia Kabanava, Richard Kueng, Holger Rauhut +1
The problem of recovering a matrix of low rank from an incomplete and possibly noisy set of linear measurements arises in a number of areas. In order to derive rigorous recovery re…
Tensor theta norms and low rank recovery
Holger Rauhut, Željka Stojanac
We study extensions of compressive sensing and low rank matrix recovery to the recovery of low rank tensors from incomplete linear information. While the reconstruction of low rank…
On the gap between RIP-properties and sparse recovery conditions
Sjoerd Dirksen, Guillaume Lecué, Holger Rauhut
We consider the problem of recovering sparse vectors from underdetermined linear measurements via -constrained basis pursuit. Previous analyses of this problem based on gen…