Signal recovery and the large sieve
SIAM Journal on Applied Mathematics
Sparse Approximate Solutions to Linear Systems
SIAM Journal on Computing
Fast implementation of orthogonal greedy algorithm for tight wavelet frames
Signal Processing - Sparse approximations in signal and image processing
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit
Foundations of Computational Mathematics
Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
SIAM Journal on Imaging Sciences
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
SIAM Journal on Imaging Sciences
Sparse representations in unions of bases
IEEE Transactions on Information Theory
Greed is good: algorithmic results for sparse approximation
IEEE Transactions on Information Theory
Decoding by linear programming
IEEE Transactions on Information Theory
Stable recovery of sparse overcomplete representations in the presence of noise
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
A comparison of typical ℓp minimization algorithms
Neurocomputing
A reweighted nuclear norm minimization algorithm for low rank matrix recovery
Journal of Computational and Applied Mathematics
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We study an unconstrained version of the $\ell_q$ minimization for the sparse solution of underdetermined linear systems for $0