The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Alternating direction method of multipliers for separable convex optimization of real functions in complex variables (Q1664611) (← links)
- Multiple sparse measurement gradient reconstruction algorithm for DOA estimation in compressed sensing (Q1664790) (← 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)
- Generalized Kalman smoothing: modeling and algorithms (Q1678609) (← links)
- Restricted Robinson constraint qualification and optimality for cardinality-constrained cone programming (Q1682972) (← 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)
- A generalized elastic net regularization with smoothed \(\ell _{q}\) penalty for sparse vector recovery (Q1687319) (← links)
- Online fault diagnosis for nonlinear power systems (Q1689341) (← links)
- Randomized LU decomposition (Q1690696) (← links)
- Approximating sampled sinusoids and multiband signals using multiband modulated DPSS dictionaries (Q1691985) (← 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)
- Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity (Q1698802) (← links)
- Sparse probit linear mixed model (Q1698863) (← 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)
- A unified formulation for generalized oilfield development optimization (Q1702333) (← links)
- A two-level method for sparse time-frequency representation of multiscale data (Q1703872) (← links)
- The Shannon total variation (Q1703959) (← links)
- Learning data discretization via convex optimization (Q1707483) (← links)
- New bounds for the CLIQUE-GAP problem using graph decomposition theory (Q1709587) (← links)
- Accelerating near-field 3D imaging approach for joint high-resolution imaging and phase error correction (Q1710937) (← links)
- Sparsity and incoherence in orthogonal matching pursuit (Q1710949) (← 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)
- Time-optimal hands-off control for linear time-invariant systems (Q1716632) (← 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)
- Content-aware compressive sensing recovery using Laplacian scale mixture priors and side information (Q1721345) (← links)
- Median filter based compressed sensing model with application to MR image reconstruction (Q1721512) (← links)
- Faber-Schauder wavelet sparse grid approach for option pricing with transactions cost (Q1722240) (← links)
- Analysis sparse representation for nonnegative signals based on determinant measure by DC programming (Q1722682) (← links)
- Linear total variation approximate regularized nuclear norm optimization for matrix completion (Q1724931) (← links)
- Signature codes for weighted noisy adder channel, multimedia fingerprinting and compressed sensing (Q1727360) (← links)
