A New Nonconvex Sparse Recovery Method for Compressive Sensing
As an extension of the widely used ℓr-minimization with 0 < r ≤ 1, a new non-convex weighted ℓr − ℓ1 minimization method is proposed for compressive sensing. The theoretical recovery results based on restricted isometry property and q-ratio constrained minimal singular values are established....
| Main Authors: | , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Frontiers Media S.A.
2019-03-01
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| סדרה: | Frontiers in Applied Mathematics and Statistics |
| נושאים: | |
| גישה מקוונת: | https://www.frontiersin.org/article/10.3389/fams.2019.00014/full |