Pages that link to "Item:Q984666"
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The following pages link to A note on guaranteed sparse recovery via \(\ell_1\)-minimization (Q984666):
Displaying 50 items.
- Reweighted \(\ell_1\) minimization method for stochastic elliptic differential equations (Q347862) (← links)
- Restricted isometries for partial random circulant matrices (Q412402) (← links)
- Recovery of sparsest signals via \(\ell^q \)-minimization (Q413642) (← links)
- Sparse Legendre expansions via \(\ell_1\)-minimization (Q420755) (← links)
- Learning functions of few arbitrary linear parameters in high dimensions (Q434415) (← links)
- Perturbations of measurement matrices and dictionaries in compressed sensing (Q442524) (← links)
- New bounds for RIC in compressed sensing (Q457549) (← links)
- Stable recovery of sparse signals via \(\ell_p\)-minimization (Q466983) (← links)
- Compressed sensing with preconditioning for sparse recovery with subsampled matrices of Slepian prolate functions (Q467114) (← links)
- The null space property for sparse recovery from multiple measurement vectors (Q533503) (← links)
- Compressed sensing with coherent and redundant dictionaries (Q544040) (← links)
- On verifiable sufficient conditions for sparse signal recovery via \(\ell_{1}\) minimization (Q633105) (← links)
- New bounds on the restricted isometry constant \(\delta _{2k}\) (Q643651) (← links)
- A necessary and sufficient condition for exact sparse recovery by \(\ell_1\) minimization (Q664941) (← links)
- On the recovery of an integer vector from linear measurements (Q668316) (← links)
- On support sizes of restricted isometry constants (Q711053) (← links)
- Improved bounds for restricted isometry constants (Q714287) (← links)
- Accuracy guaranties for \(\ell_{1}\) recovery of block-sparse signals (Q741817) (← links)
- Matrix-free interior point method for compressed sensing problems (Q744215) (← links)
- A new conjugate gradient hard thresholding pursuit algorithm for sparse signal recovery (Q827377) (← links)
- Sparse recovery in probability via \(l_q\)-minimization with Weibull random matrices for \(0 < q\leq 1\) (Q1747365) (← links)
- Spark-level sparsity and the \(\ell_1\) tail minimization (Q1748258) (← links)
- An efficient algorithm based on sparse optimization for the aircraft departure scheduling problem (Q2013610) (← links)
- New regularization method and iteratively reweighted algorithm for sparse vector recovery (Q2033724) (← links)
- Sparse recovery using the discrete cosine transform (Q2050708) (← links)
- An evaluation of the sparsity degree for sparse recovery with deterministic measurement matrices (Q2251220) (← links)
- Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO (Q2252508) (← 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)
- Basis adaptive sample efficient polynomial chaos (BASE-PC) (Q2425254) (← links)
- Concentration of \(S\)-largest mutilated vectors with \(\ell_p\)-quasinorm for \(0<p\leq 1\) and its applications (Q2449220) (← links)
- Stable recovery of low-rank matrix via nonconvex Schatten \(p\)-minimization (Q2629808) (← links)
- \(\ell^1\)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? (Q2659754) (← links)
- A necessary and sufficient condition for sparse vector recovery via \(\ell_1-\ell_2\) minimization (Q2667049) (← links)
- The finite steps of convergence of the fast thresholding algorithms with \(f\)-feedbacks in compressed sensing (Q2672726) (← links)
- Compressive Sensing (Q2789803) (← links)
- Theory and applications of compressed sensing (Q2864809) (← links)
- Robustness of Sparse Recovery via <inline-formula> <tex-math notation="LaTeX">$F$ </tex-math></inline-formula>-Minimization: A Topological Viewpoint (Q2977386) (← links)
- Necessary and sufficient conditions for linear convergence of ℓ1-regularization (Q3068374) (← links)
- A Survey of Compressed Sensing (Q3460827) (← links)
- Sparse signal recovery via non-convex optimization and overcomplete dictionaries (Q4554319) (← links)
- Weighted ${\ell}_{{1}}$-minimization for sparse recovery under arbitrary prior information (Q4603710) (← links)
- Sparse Solutions by a Quadratically Constrained ℓq (0 <<i>q</i>< 1) Minimization Model (Q4995085) (← links)
- (Q4999097) (← links)
- A new sufficient condition for sparse vector recovery via ℓ1 − ℓ2 local minimization (Q5016825) (← links)
- On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels (Q5266378) (← links)
- A survey on compressive sensing: classical results and recent advancements (Q5855706) (← links)
- A tight bound of modified iterative hard thresholding algorithm for compressed sensing. (Q6177911) (← links)
- \(k\)-sparse vector recovery via truncated \(\ell_1 -\ell_2\) local minimization (Q6181376) (← links)
- k-Sparse Vector Recovery via $$\ell _1-\alpha \ell _2$$ Local Minimization (Q6493963) (← links)
