Pages that link to "Item:Q3188784"
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The following pages link to Compressed sensing recovery via nonconvex shrinkage penalties (Q3188784):
Displaying 32 items.
- An efficient nonconvex regularization for wavelet frame and total variation based image restoration (Q492121) (← links)
- Fast L1-L2 minimization via a proximal operator (Q1742664) (← links)
- Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing (Q1749455) (← links)
- Linear program relaxation of sparse nonnegative recovery in compressive sensing microarrays (Q1929588) (← links)
- A non-convex regularization approach for compressive sensing (Q2000486) (← links)
- Limited-angle CT reconstruction with generalized shrinkage operators as regularizers (Q2063013) (← links)
- Sampling from non-smooth distributions through Langevin diffusion (Q2065460) (← links)
- Local recovery bounds for prior support constrained compressed sensing (Q2113400) (← links)
- The springback penalty for robust signal recovery (Q2168687) (← links)
- Parametrized quasi-soft thresholding operator for compressed sensing and matrix completion (Q2185044) (← links)
- Image restoration via the adaptive \(TV^p\) regularization (Q2194779) (← links)
- Iterative \(p\)-shrinkage thresholding algorithm for low Tucker rank tensor recovery (Q2212078) (← links)
- Two-stage image segmentation based on nonconvex \(\ell_2-\ell_p\) approximation and thresholding (Q2242811) (← links)
- Multiplicative noise removal via using nonconvex regularizers based on total variation and wavelet frame (Q2297111) (← links)
- A singular value \(p\)-shrinkage thresholding algorithm for low rank matrix recovery (Q2419553) (← links)
- Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing (Q2658730) (← links)
- Linearized Bregman iterations for compressed sensing (Q3055156) (← links)
- Restricted isometry properties and nonconvex compressive sensing (Q3507945) (← links)
- Sparsest representations and approximations of an underdetermined linear system (Q4569345) (← links)
- Compressive Sensing Reconstruction With Prior Information by Iteratively Reweighted Least-Squares (Q4569726) (← links)
- Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds (Q4570691) (← links)
- (Q4980465) (← links)
- Recent trends and advances in solving the inverse problem for EEG source localization (Q4990758) (← links)
- One-bit compressed sensing via <i> <b>ℓ</b> </i> <sub> <i>p</i> </sub>(<b>0</b> <b><</b> <i>p</i> <b><</b> <b>1</b>)-minimization method (Q5000599) (← links)
- Minimization of $L_1$ Over $L_2$ for Sparse Signal Recovery with Convergence Guarantee (Q5071446) (← links)
- Non-Convex and Convex Coupling Image Segmentation via TGpV Regularization and Thresholding (Q5156974) (← links)
- Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine (Q5281147) (← links)
- A nonconvex nonsmooth image prior based on the hyperbolic tangent function (Q6084629) (← links)
- Guarantees of fast band restricted thresholding algorithm for low-rank matrix recovery problem (Q6534425) (← links)
- Robust nonconvex sparse optimization for impact force identification (Q6564379) (← links)
- Sparse recovery based on the generalized error function (Q6616997) (← links)
- Sparse parameter identification for stochastic systems based on \(L_\gamma\) regularization (Q6640587) (← links)
