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06/11/2020
The high-order block RIP for non-convex block-sparse compressed sensing
This paper concentrates on the recovery of block-sparse signals, which i...
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06/11/2020
The perturbation analysis of nonconvex low-rank matrix robust recovery
In this paper, we bring forward a completely perturbed nonconvex Schatte...
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06/11/2020
The block mutual coherence property condition for signal recovery
Compressed sensing shows that a sparse signal can stably be recovered fr...
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03/10/2020
An Optimal Condition of Robust Low-rank Matrices Recovery
In this paper we investigate the reconstruction conditions of nuclear no...
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03/06/2020
An analysis of noise folding for low-rank matrix recovery
Previous work regarding low-rank matrix recovery has concentrated on the...
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06/05/2019
RIP-based performance guarantee for low-tubal-rank tensor recovery
The essential task of multi-dimensional data analysis focuses on the ten...
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06/04/2019
