Uniform RIP Conditions for Recovery of Sparse Signals by $\ell _p\,(0< p\leq 1)$ Minimization
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Publication:5103095
DOI10.1109/TSP.2020.3022822OpenAlexW3084383934MaRDI QIDQ5103095
Publication date: 23 September 2022
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tsp.2020.3022822
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The null space property of the weighted ℓr − ℓ1 minimization ⋮ Nonconvex \(\ell_p-\alpha\ell_q\) minimization method and \(p\)-RIP condition for stable recovery of approximately \(k\)-sparse signals ⋮ The Dantzig selector: recovery of signal via ℓ 1 − αℓ 2 minimization ⋮ Weighted \(\ell_p\) (\(0<p\le 1\)) minimization with non-uniform weights for sparse recovery under partial support information
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