Exact Recovery Conditions for Sparse Representations With Partial Support Information

DOI10.1109/TIT.2013.2278179zbMath1364.94128arXiv1305.4008OpenAlexW2150224753MaRDI QIDQ5346268

Cédric Herzet, Jérôme Idier, Charles Soussen, Rémi Gribonval

Publication date: 8 June 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.4008

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Required Number of Iterations for Sparse Signal Recovery via Orthogonal Least Squares ⋮ A survey on compressive sensing: classical results and recent advancements ⋮ A new sufficient condition for sparse recovery with multiple orthogonal least squares ⋮ Compressed sensing with structured sparsity and structured acquisition ⋮ Optimality analysis on partial \(l_1\)-minimization recovery ⋮ A simple recovery framework for signals with time-varying sparse support ⋮ A theoretical perspective of solving phaseless compressive sensing via its nonconvex relaxation ⋮ Perturbation Analysis of Orthogonal Least Squares ⋮ Quasi-linear Compressed Sensing ⋮ Weighted $\ell_p$-Minimization for Sparse Signal Recovery under Arbitrary Support Prior

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