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 &#x2113;<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...

Full description

Bibliographic Details
Main Authors: Huanmin Ge, Run Cao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8891695/