Pages that link to "Item:Q4588058"
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The following pages link to Theoretical Results on Sparse Representations of Multiple-Measurement Vectors (Q4588058):
Displaying 50 items.
- Split Bregman algorithms for multiple measurement vector problem (Q336036) (← links)
- Disjoint sparsity for signal separation and applications to hybrid inverse problems in medical imaging (Q504383) (← links)
- The null space property for sparse recovery from multiple measurement vectors (Q533503) (← links)
- Source localization using a sparse representation framework to achieve superresolution (Q600881) (← links)
- Analysis of convergence for the alternating direction method applied to joint sparse recovery (Q668704) (← links)
- Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms (Q734954) (← links)
- Column subset selection via sparse approximation of SVD (Q764372) (← links)
- Theoretical guarantees for graph sparse coding (Q778037) (← links)
- Spectrum blind reconstruction and direction of arrival estimation of multi-band signals at sub-Nyquist sampling rates (Q784556) (← links)
- Real versus complex null space properties for sparse vector recovery (Q990237) (← links)
- Backtracking-based simultaneous orthogonal matching pursuit for sparse unmixing of hyperspectral data (Q1666730) (← links)
- Recovery of block sparse signals under the conditions on block RIC and ROC by BOMP and BOMMP (Q1673807) (← links)
- Sparse support recovery using correlation information in the presence of additive noise (Q1697954) (← links)
- A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit (Q1700711) (← links)
- Recovery analysis for weighted mixed \(\ell_2 / \ell_p\) minimization with \(0 < p \leq 1\) (Q1736367) (← links)
- Greedy subspace pursuit for joint sparse recovery (Q1736381) (← links)
- Reducing effects of bad data using variance based joint sparsity recovery (Q1736886) (← links)
- A remark on joint sparse recovery with OMP algorithm under restricted isometry property (Q1740232) (← links)
- A novel STAP algorithm for airborne MIMO radar based on temporally correlated multiple sparse Bayesian learning (Q1793110) (← links)
- Stochastic greedy algorithms for multiple measurement vectors (Q2028927) (← links)
- Active channel sparsification: realizing frequency-division duplexing massive MIMO with minimal overhead (Q2106487) (← links)
- The restricted isometry property of block diagonal matrices for group-sparse signal recovery (Q2155809) (← links)
- Group variable selection via \(\ell_{p,0}\) regularization and application to optimal scoring (Q2185626) (← links)
- A perturbation analysis based on group sparse representation with orthogonal matching pursuit (Q2232085) (← links)
- On rank awareness, thresholding, and MUSIC for joint sparse recovery (Q2278470) (← links)
- Reconstruction of jointly sparse vectors via manifold optimization (Q2311804) (← links)
- Sharp sufficient conditions for stable recovery of block sparse signals by block orthogonal matching pursuit (Q2330942) (← links)
- Sparse signal recovery for direction-of-arrival estimation based on source signal subspace (Q2336510) (← links)
- Three stochastic measurement schemes for direction-of-arrival estimation using compressed sensing method (Q2354754) (← links)
- Fusion of sparse reconstruction algorithms for multiple measurement vectors (Q2360137) (← links)
- Efficient block-coordinate descent algorithms for the group Lasso (Q2392933) (← links)
- On the strong convergence of forward-backward splitting in reconstructing jointly sparse signals (Q2670979) (← links)
- Synthetic aperture imaging of direction- and frequency-dependent reflectivities (Q2797772) (← links)
- Low Complexity Regularization of Linear Inverse Problems (Q2799919) (← links)
- A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media (Q3130738) (← links)
- Illumination Strategies for Intensity-Only Imaging (Q3192666) (← links)
- Typical reconstruction limits for distributed compressed sensing based on ℓ<sub>2,1</sub>-norm minimization and Bayesian optimal reconstruction (Q3302259) (← links)
- Typical reconstruction performance for distributed compressed sensing based on ℓ<sub>2,1</sub>-norm regularized least square and Bayesian optimal reconstruction: influences of noise (Q3302730) (← links)
- Theory of Sparse Coprime Sensing in Multiple Dimensions (Q4573096) (← links)
- A Multiple Measurement Vector Approach to Synthetic Aperture Radar Imaging (Q4686935) (← links)
- Estimation of block sparsity in compressive sensing (Q5052929) (← links)
- ORKA: Object reconstruction using a K-approximation graph (Q5058112) (← links)
- Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases (Q5327163) (← links)
- Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions (Q5860273) (← links)
- Grouped variable selection with discrete optimization: computational and statistical perspectives (Q6046300) (← links)
- Block sparse signal recovery via minimizing the block \(q\)-ratio sparsity (Q6056243) (← links)
- Solution sets of three sparse optimization problems for multivariate regression (Q6064025) (← links)
- Sequential edge detection using joint hierarchical Bayesian learning (Q6111678) (← links)
- Some results on OMP algorithm for MMV problem (Q6181820) (← links)
- Open issues and recent advances in DC programming and DCA (Q6200375) (← links)
