The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Inexact version of Bregman proximal gradient algorithm (Q2198034) (← links)
- Fast overcomplete dictionary construction with probabilistic guarantees (Q2198175) (← links)
- Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction (Q2198239) (← links)
- Effective zero-norm minimization algorithms for noisy compressed sensing (Q2198627) (← links)
- A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration (Q2198630) (← links)
- Geological facies recovery based on weighted \(\ell_1\)-regularization (Q2198925) (← links)
- From Gauss to Kolmogorov: localized measures of complexity for ellipses (Q2199701) (← links)
- Collaborative block compressed sensing reconstruction with dual-domain sparse representation (Q2200689) (← links)
- Robust image compressive sensing based on half-quadratic function and weighted Schatten-\(p\) norm (Q2201672) (← links)
- Three deterministic constructions of compressed sensing matrices with low coherence (Q2202898) (← links)
- Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis (Q2205985) (← links)
- Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method (Q2206064) (← links)
- Bayesian approach with extended support estimation for sparse linear regression (Q2211053) (← links)
- A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations (Q2211058) (← links)
- Compressive isogeometric analysis (Q2214468) (← links)
- Compressive sensing adaptation for polynomial chaos expansions (Q2214527) (← links)
- Sparse modeling approach to obtaining the shear viscosity from smeared correlation functions (Q2215315) (← links)
- Inverse potential problems for divergence of measures with total variation regularization (Q2216254) (← links)
- Stability of 1-bit compressed sensing in sparse data reconstruction (Q2217038) (← links)
- Temporal Huber regularization for DCE-MRI (Q2217392) (← links)
- An active-set proximal-Newton algorithm for \(\ell_1\) regularized optimization problems with box constraints (Q2219645) (← links)
- An adaptive primal-dual framework for nonsmooth convex minimization (Q2220901) (← links)
- Entropy numbers of finite-dimensional embeddings (Q2221483) (← links)
- Fixed-point proximity algorithms solving an incomplete Fourier transform model for seismic wavefield modeling (Q2222155) (← links)
- Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction (Q2224828) (← links)
- On sparsity of the solution to a random quadratic optimization problem (Q2227539) (← links)
- Primal-dual incremental gradient method for nonsmooth and convex optimization problems (Q2230784) (← links)
- A unifying representer theorem for inverse problems and machine learning (Q2231644) (← links)
- Discrete optimization methods for group model selection in compressed sensing (Q2235146) (← links)
- An algorithm for matrix recovery of high-loss-rate network traffic data (Q2243486) (← links)
- Sparsity reconstruction using nonconvex TGpV-shearlet regularization and constrained projection (Q2245027) (← links)
- A compressed-sensing approach for closed-loop optimal control of nonlinear systems (Q2249709) (← links)
- A significance test for the lasso (Q2249837) (← links)
- Discussion: ``A significance test for the lasso'' (Q2249838) (← links)
- Rejoinder: ``A significance test for the lasso'' (Q2249839) (← links)
- Homogeneous penalizers and constraints in convex image restoration (Q2251195) (← links)
- Learning with tensors: a framework based on convex optimization and spectral regularization (Q2251466) (← links)
- The nonnegative zero-norm minimization under generalized \(Z\)-matrix measurement (Q2251573) (← links)
- Sharp RIP bound for sparse signal and low-rank matrix recovery (Q2252129) (← links)
- Spectral compressive sensing (Q2252132) (← links)
- A new iterative firm-thresholding algorithm for inverse problems with sparsity constraints (Q2252134) (← links)
- Compressed sensing with sparse binary matrices: instance optimal error guarantees in near-optimal time (Q2252137) (← links)
- Data-driven time-frequency analysis (Q2252154) (← links)
- Geometric separation by single-pass alternating thresholding (Q2252176) (← links)
- Stable restoration and separation of approximately sparse signals (Q2252500) (← links)
- Convergence rates of learning algorithms by random projection (Q2252501) (← links)
- Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO (Q2252508) (← links)
- Convergence of a data-driven time-frequency analysis method (Q2252514) (← links)
- Randomized large distortion dimension reduction (Q2253922) (← links)
- Sparse matrices in frame theory (Q2259737) (← links)
