Pages that link to "Item:Q927127"
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The following pages link to The restricted isometry property and its implications for compressed sensing (Q927127):
Displaying 50 items.
- An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing (Q2127056) (← links)
- Sparse Bayesian learning for network structure reconstruction based on evolutionary game data (Q2137626) (← links)
- On the optimization landscape of tensor decompositions (Q2144549) (← links)
- An inexact proximal DC algorithm with sieving strategy for rank constrained least squares semidefinite programming (Q2148144) (← links)
- On the robustness of noise-blind low-rank recovery from rank-one measurements (Q2168911) (← links)
- A smoothing neural network for minimization \(l_1\)-\(l_p\) in sparse signal reconstruction with measurement noises (Q2185680) (← links)
- On phaseless compressed sensing with partially known support (Q2190282) (← links)
- Subspace learning by \(\ell^0\)-induced sparsity (Q2193787) (← links)
- Group sparse recovery in impulsive noise via alternating direction method of multipliers (Q2197950) (← links)
- Greedy orthogonal matching pursuit for subspace clustering to improve graph connectivity (Q2198101) (← links)
- Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction (Q2198239) (← links)
- A perturbation analysis of nonconvex block-sparse compressed sensing (Q2198516) (← links)
- Effective zero-norm minimization algorithms for noisy compressed sensing (Q2198627) (← links)
- Three deterministic constructions of compressed sensing matrices with low coherence (Q2202898) (← links)
- Deletion correcting codes meet the Littlewood-Offord problem (Q2205891) (← links)
- Bipolar measurement matrix using chaotic sequence (Q2207348) (← links)
- Stability of 1-bit compressed sensing in sparse data reconstruction (Q2217038) (← links)
- On the restricted isometry property of the Paley matrix (Q2238859) (← links)
- Convergence and stability analysis of iteratively reweighted least squares for noisy block sparse recovery (Q2238869) (← links)
- Sharp RIP bound for sparse signal and low-rank matrix recovery (Q2252129) (← links)
- Convergence of projected Landweber iteration for matrix rank minimization (Q2252213) (← links)
- Stable restoration and separation of approximately sparse signals (Q2252500) (← links)
- Saving phase: injectivity and stability for phase retrieval (Q2252507) (← links)
- Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO (Q2252508) (← links)
- Robust dequantized compressive sensing (Q2252518) (← links)
- Sparse signals recovery from noisy measurements by orthogonal matching pursuit (Q2254767) (← links)
- Sparse-view ultrasound diffraction tomography using compressed sensing with nonuniform FFT (Q2262459) (← links)
- A numerical exploration of compressed sampling recovery (Q2267399) (← links)
- Stability and instance optimality for Gaussian measurements in compressed sensing (Q2269902) (← links)
- Construction of highly redundant incoherent unit norm tight frames as a union of orthonormal bases (Q2274406) (← links)
- Signal reconstruction by conjugate gradient algorithm based on smoothing \(l_1\)-norm (Q2279178) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- A compressive sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud (Q2293031) (← links)
- A new smoothed L0 regularization approach for sparse signal recovery (Q2298142) (← links)
- A new sparse recovery method for the inverse acoustic scattering problem (Q2300540) (← links)
- RIP-based performance guarantee for low-tubal-rank tensor recovery (Q2306402) (← links)
- Joint image compression-encryption scheme using entropy coding and compressive sensing (Q2308152) (← links)
- Learning directed acyclic graph SPNs in sub-quadratic time (Q2310290) (← links)
- Data-driven compressive sensing and applications in uncertainty quantification (Q2312140) (← links)
- New conditions on stable recovery of weighted sparse signals via weighted \(l_1\) minimization (Q2312513) (← links)
- Sparse reconstruction with multiple Walsh matrices (Q2317908) (← links)
- Compressed-sensing-based gradient reconstruction for ghost imaging (Q2323735) (← links)
- Sampling strategies for uncertainty reduction in categorical random fields: formulation, mathematical analysis and application to multiple-point simulations (Q2325286) (← links)
- Image encryption using sparse coding and compressive sensing (Q2326110) (← links)
- Compressed sensing MR image reconstruction exploiting TGV and wavelet sparsity (Q2330192) (← links)
- Optimal RIP bounds for sparse signals recovery via \(\ell_p\) minimization (Q2330928) (← links)
- Sharp sufficient conditions for stable recovery of block sparse signals by block orthogonal matching pursuit (Q2330942) (← links)
- Norm penalized joint-optimization NLMS algorithms for broadband sparse adaptive channel estimation (Q2333541) (← links)
- Outlier deletion based improvement on the stomp algorithm for sparse solution of large-scale underdetermined problems (Q2335937) (← links)
- A fast algorithm for the semi-definite relaxation of the state estimation problem in power grids (Q2338485) (← links)
