Pages that link to "Item:Q3507945"

The following pages link to Restricted isometry properties and nonconvex compressive sensing (Q3507945):

Displaying 50 items.

• Entropy function-based algorithms for solving a class of nonconvex minimization problems (Q259115) (← links)
• Nonlinear residual minimization by iteratively reweighted least squares (Q301685) (← links)
• A smoothing SQP framework for a class of composite \(L_q\) minimization over polyhedron (Q304258) (← links)
• Conjugate gradient acceleration of iteratively re-weighted least squares methods (Q316180) (← links)
• The non-convex sparse problem with nonnegative constraint for signal reconstruction (Q328467) (← links)
• Sparse SAR imaging based on \(L_{1/2}\) regularization (Q362313) (← links)
• The bounds of restricted isometry constants for low rank matrices recovery (Q365859) (← links)
• Restricted isometries for partial random circulant matrices (Q412402) (← links)
• Recovery of sparsest signals via \(\ell^q \)-minimization (Q413642) (← links)
• Perturbations of measurement matrices and dictionaries in compressed sensing (Q442524) (← links)
• Iterative reweighted minimization methods for \(l_p\) regularized unconstrained nonlinear programming (Q463732) (← links)
• Compressed sensing with coherent tight frames via \(l_q\)-minimization for \(0 < q \leq 1\) (Q479885) (← links)
• A modified greedy analysis pursuit algorithm for the cosparse analysis model (Q513670) (← links)
• GAITA: a Gauss-Seidel iterative thresholding algorithm for \(\ell_q\) regularized least squares regression (Q515771) (← links)
• The null space property for sparse recovery from multiple measurement vectors (Q533503) (← links)
• The Gelfand widths of \(\ell_p\)-balls for \(0 < p \leq 1\) (Q609740) (← links)
• Restricted \(p\)-isometry property and its application for nonconvex compressive sensing (Q695638) (← links)
• Improved bounds for restricted isometry constants (Q714287) (← links)
• Convergence of the reweighted \(\ell_1\) minimization algorithm for \(\ell_2-\ell_p\) minimization (Q742293) (← links)
• A constrained optimization reformulation and a feasible descent direction method for \(L_{1/2}\) regularization (Q742307) (← links)
• A theoretical perspective of solving phaseless compressive sensing via its nonconvex relaxation (Q778434) (← links)
• A novel adaptive wide-angle SAR imaging algorithm based on Boltzmann machine model (Q784520) (← links)
• An interior-point \(\ell_{\frac{1}{2}}\)-penalty method for inequality constrained nonlinear optimization (Q898716) (← links)
• A perturbation inequality for concave functions of singular values and its applications in low-rank matrix recovery (Q905912) (← links)
• The restricted isometry property and its implications for compressed sensing (Q927127) (← links)
• Sparse recovery by non-convex optimization - instance optimality (Q984656) (← links)
• The sparsity of underdetermined linear system via \(l_p\) minimization for \(0 < p < 1\) (Q1666063) (← links)
• An improved algorithm for the \(L_2-L_p\) minimization problem (Q1683685) (← links)
• A generalized elastic net regularization with smoothed \(\ell _{q}\) penalty for sparse vector recovery (Q1687319) (← links)
• \(\ell _p\) regularized low-rank approximation via iterative reweighted singular value minimization (Q1694395) (← links)
• Affine matrix rank minimization problem via non-convex fraction function penalty (Q1696454) (← links)
• An iterative support shrinking algorithm for non-Lipschitz optimization in image restoration (Q1716780) (← links)
• Bound alternative direction optimization for image deblurring (Q1717868) (← links)
• TV+TV regularization with nonconvex sparseness-inducing penalty for image restoration (Q1719139) (← links)
• On monotone and primal-dual active set schemes for \(\ell^p\)-type problems, \(p \in (0,1]\) (Q1734767) (← links)
• Recovery analysis for weighted mixed \(\ell_2 / \ell_p\) minimization with \(0 < p \leq 1\) (Q1736367) (← links)
• Sparse signal recovery with prior information by iterative reweighted least squares algorithm (Q1746492) (← links)
• Sparse recovery in probability via \(l_q\)-minimization with Weibull random matrices for \(0 < q\leq 1\) (Q1747365) (← links)
• Recovery of seismic wavefields by an \(l_{q}\)-norm constrained regularization method (Q1785033) (← links)
• Capped \(\ell_p\) approximations for the composite \(\ell_0\) regularization problem (Q1785036) (← links)
• Restricted \(p\)-isometry properties of partially sparse signal recovery (Q1956098) (← links)
• A non-convex regularization approach for compressive sensing (Q2000486) (← links)
• Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems (Q2022292) (← links)
• New regularization method and iteratively reweighted algorithm for sparse vector recovery (Q2033724) (← links)
• A unified primal dual active set algorithm for nonconvex sparse recovery (Q2038299) (← links)
• Sparse PSD approximation of the PSD cone (Q2118107) (← links)
• An inertial Bregman generalized alternating direction method of multipliers for nonconvex optimization (Q2142534) (← links)
• The springback penalty for robust signal recovery (Q2168687) (← links)
• Signal separation under coherent dictionaries and \(\ell_p\)-bounded noise (Q2223572) (← links)
• An L0-regularized global anisotropic gradient prior for single-image de-raining (Q2247395) (← links)