70 citations · 124 across the 7 of their papers we have counts for
3 papers · 1 filter
Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux, Gabriel Peyré, Jalal M. Fadili +1
In this paper, we study the support recovery guarantees of underdetermined sparse regression using the -norm as a regularizer and a non-smooth loss function for data fideli…
Consistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing
Amirafshar Moshtaghpour, Laurent Jacques, Valerio Cambareri +2
This paper focuses on the estimation of low-complexity signals when they are observed through uniformly quantized compressive observations. Among such signals, we consider 1-D…
Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing
Laurent Jacques, Kévin Degraux, Christophe De Vleeschouwer
In this work, we show that reconstructing a sparse signal from quantized compressive measurement can be achieved in an unified formalism whatever the (scalar) quantization resoluti…