Iterative Reweighted <formula formulatype="inline"><tex Notation="TeX">$\ell_{2}/\ell_{1}$</tex> </formula> Recovery Algorithms for Compressed Sensing of Block Sparse Signals

DOI10.1109/TSP.2015.2441032zbMath1394.94680MaRDI QIDQ4580766

Amir H. Banihashemi, Zeinab Zeinalkhani

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (5)

Estimation of block sparsity in compressive sensing ⋮ Block sparse signal recovery via minimizing the block \(q\)-ratio sparsity ⋮ Recovery analysis for weighted mixed \(\ell_2 / \ell_p\) minimization with \(0 < p \leq 1\) ⋮ Convergence and stability analysis of iteratively reweighted least squares for noisy block sparse recovery ⋮ Weighted lp − l1 minimization methods for block sparse recovery and rank minimization

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