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Abstract—This paper addresses the issue of robust sparse recovery in compressive sensing (CS) in the presence of impulsive measurement noise.
Aug 4, 2016 · This paper addresses the issue of robust sparse recovery in compressive sensing (CS) in the presence of impulsive measurement noise.
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Oct 22, 2024 · This paper addresses the issue of robust sparse recovery in compressive sensing (CS) in the presence of impulsive measurement noise.
We propose a robust sparse recovery formulation in impulsive noise, where 1 norm as the metric for the residual error and a class of weakly convex functions ...
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We propose a robust sparse recovery formulation in impulsive noise, where ℓ1 norm as the metric for the residual error and a class of weakly convex functions ...
In this paper, we consider the recovery of group sparse signals corrupted by impulsive noise. In some recent literature, researchers have utilized stable data.
It has been showed that l 1 minimization is an effective method to reconstruct sparse signals, since it is convex and easily tractable. Thus, its applications ...
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Apr 12, 2018 · Abstract—This paper investigates the problem of sparse signal recovery in the presence of additive impulsive noise. The heavy-.
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In this paper, we study l 1 − αl 2 (0 < α ⩽ 1) minimization methods for signal and image reconstruction with impulsive noise removal.
This letter investigates the problem of sparse signal recovery in the presence of additive impulsive noise. The heavy-tailed impulsive noise is well modeled ...
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