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05/19/2023
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
Within the tensor singular value decomposition (T-SVD) framework, existi...
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02/04/2023
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
The tensor data recovery task has thus attracted much research attention...
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01/29/2022
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
It is known that the decomposition in low-rank and sparse matrices (L+S ...
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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
Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles
In previous work, theoretical analysis based on the tensor Restricted Is...
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03/03/2019
Deterministic Analysis of Weighted BPDN With Partially Known Support Information
In this paper, with the aid of the powerful Restricted Isometry Constant...
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12/10/2018