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Recovery analysis for weighted mixed ℓ_2/ℓ_p minimization with 0<p≤ 1
[article]
2017
arXiv
pre-print
We study the recovery conditions of weighted mixed ℓ_2/ℓ_p (0<p≤ 1) minimization for block sparse signal reconstruction from compressed measurements when partial block support information is available. We show that the block p-restricted isometry property (RIP) can ensure the robust recovery. Moreover, we present the sufficient and necessary condition for the recovery by using weighted block p-null space property. The relationship between the block p-RIP and the weighted block p-null space
arXiv:1709.00257v2
fatcat:yfsuo5uuvbg4rk7b6rywejiekm