Pages that link to "Item:Q1027252"
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The following pages link to Breakdown of equivalence between the minimal \(\ell^1\)-norm solution and the sparsest solution (Q1027252):
Displaying 18 items.
- Computing and analyzing recoverable supports for sparse reconstruction (Q269197) (← links)
- Theory of compressive sensing via \(\ell_1\)-minimization: a non-RIP analysis and extensions (Q384215) (← links)
- A coordinate gradient descent method for \(\ell_{1}\)-regularized convex minimization (Q535291) (← links)
- Analog random coding (Q620923) (← links)
- Noisy 1-bit compressive sensing: models and algorithms (Q900771) (← links)
- Analysis of the equivalence relationship between \(l_{0}\)-minimization and \(l_{p}\)-minimization (Q1688516) (← links)
- Parameter selection for nonnegative $l_1$ matrix/tensor sparse decomposition (Q1785395) (← links)
- Stable high-order cubature formulas for experimental data (Q2133503) (← links)
- Lyapunov exponents for some isotropic random matrix ensembles (Q2194167) (← links)
- New analysis of manifold embeddings and signal recovery from compressive measurements (Q2347898) (← links)
- Mean breakdown points for compressed sensing by uniformly distributed matrices (Q2843151) (← links)
- Sparse Representation of Signals in Hardy Space (Q2847068) (← links)
- Phase transitions in error correcting and compressed sensing by \(\ell _{1}\) linear programming (Q2868199) (← links)
- Two Algorithms for Compressed Sensing of Sparse Tensors (Q3460836) (← links)
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information (Q3546643) (← links)
- (Q5276403) (← links)
- For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution (Q5471032) (← links)
- Second order self-adaptive dynamical system for sparse signal reconstruction and applications to image recovery (Q6160613) (← links)
