| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563796 | Signal Processing | 2014 | 9 Pages |
Abstract
•We establish a p-RIP condition for robust recovery of nearly block-sparse signals via mixed l2/lp-minimization.•We obtain a stronger version p-RIP condition for exact recovery of block-sparse signals via mixed l2/lp-minimization.•We determine how many random, Gaussian measurements are sufficient for the p-RIP condition to be satisfied with high probability.•A series of numerical experiments have been carried out to prove the validation of our presented theoretical results.
In this paper, by generalizing the notion of restricted p -isometry constant (0
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Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Yao Wang, Jianjun Wang, Zongben Xu,