New Bounds Based on RIP for the Sparse Matrix Recovery via the Weighted <inline-formula> <tex-math notation="LaTeX">$\ell_{2,1}$ </tex-math></inline-formula> Minimization
In this paper, we consider using the weighted ℓ<sub>2,1</sub> minimization to reconstruct X from Y = AX + Z. This method has been applied to recover multichannel signal in resent years since it exploits both the interchannel correlation and multisource prior. We show improved...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8891695/ |