Pages that link to "Item:Q3546643"

The following pages link to Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information (Q3546643):

Displaying 50 items.

• Denoising point sets via \(L_0\) minimization (Q1632309) (← links)
• Improved bounds for sparse recovery from subsampled random convolutions (Q1634177) (← links)
• The time-domain integration method of digital subtraction angiography images (Q1634229) (← links)
• Sigma delta quantization with harmonic frames and partial Fourier ensembles (Q1634829) (← links)
• Observable dictionary learning for high-dimensional statistical inference (Q1639590) (← links)
• A flexible coordinate descent method (Q1639710) (← links)
• Infinite-dimensional compressed sensing and function interpolation (Q1656376) (← links)
• Sparse approximate solution of fitting surface to scattered points by MLASSO model (Q1656898) (← links)
• Automatic modulation recognition using compressive cyclic features (Q1657053) (← links)
• Improved adaptive sparse channel estimation using mixed square/fourth error criterion (Q1660689) (← links)
• Compressed sensing for real measurements of quaternion signals (Q1661251) (← links)
• Alternating direction method of multipliers for separable convex optimization of real functions in complex variables (Q1664611) (← links)
• Energy-based spectrum sensing under nonreconstruction framework (Q1665119) (← links)
• Compressive sensing approach in the Hermite transform domain (Q1665244) (← links)
• On the uniqueness of the sparse signals reconstruction based on the missing samples variation analysis (Q1666192) (← links)
• MIMO radar imaging based on smoothed \(l_0\) norm (Q1666726) (← links)
• Prediction of protein-protein interaction by metasample-based sparse representation (Q1666781) (← links)
• Compressed sensing of data with a known distribution (Q1669057) (← links)
• Expander \(\ell_0\)-decoding (Q1669068) (← links)
• On group-wise \(\ell_p\) regularization: theory and efficient algorithms (Q1669617) (← links)
• Recovery of block sparse signals under the conditions on block RIC and ROC by BOMP and BOMMP (Q1673807) (← links)
• Stronger uncertainty relations with improvable upper and lower bounds (Q1679281) (← links)
• Sparsity enabled cluster reduced-order models for control (Q1683852) (← links)
• The matrix splitting based proximal fixed-point algorithms for quadratically constrained \(\ell_{1}\) minimization and Dantzig selector (Q1686207) (← links)
• Random perturbation of low rank matrices: improving classical bounds (Q1688904) (← links)
• Approximating sampled sinusoids and multiband signals using multiband modulated DPSS dictionaries (Q1691985) (← links)
• Estimating averages of order statistics of bivariate functions (Q1692239) (← links)
• Spark deficient Gabor frames (Q1692384) (← links)
• A hierarchical framework for recovery in compressive sensing (Q1693135) (← links)
• A note on probably certifiably correct algorithms (Q1695210) (← links)
• Deterministic construction of compressed sensing matrices based on semilattices (Q1698065) (← links)
• A Rice method proof of the null-space property over the Grassmannian (Q1700392) (← links)
• A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit (Q1700711) (← links)
• Smoothed \(\ell_1\)-regularization-based line search for sparse signal recovery (Q1701931) (← links)
• Uncertainty principles for locally compact quantum groups (Q1702584) (← links)
• A two-level method for sparse time-frequency representation of multiscale data (Q1703872) (← links)
• The Shannon total variation (Q1703959) (← links)
• Accelerating near-field 3D imaging approach for joint high-resolution imaging and phase error correction (Q1710937) (← links)
• Iterative identification for multivariable systems with time-delays based on basis pursuit de-noising and auxiliary model (Q1712029) (← links)
• Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
• Compressed sensing with structured sparsity and structured acquisition (Q1713639) (← links)
• Recovery of signals under the condition on RIC and ROC via prior support information (Q1713645) (← links)
• An iterative support shrinking algorithm for non-Lipschitz optimization in image restoration (Q1716780) (← links)
• Distributed Kalman-consensus filtering for sparse signal estimation (Q1717733) (← links)
• Sparse signal reconstruction based on multiparameter approximation function with smoothed \(\ell_0\) norm (Q1718317) (← links)
• IDMA-based compressed sensing for ocean monitoring information acquisition with sensor networks (Q1718377) (← links)
• TV+TV regularization with nonconvex sparseness-inducing penalty for image restoration (Q1719139) (← links)
• Error in the reconstruction of nonsparse images (Q1720910) (← links)
• Roles of clustering coefficient for the network reconstruction (Q1721001) (← links)
• Image encryption technique combining compressive sensing with double random-phase encoding (Q1721294) (← links)