The following pages link to (Q3078293):
Displaying 50 items.
- Conjugate gradient acceleration of iteratively re-weighted least squares methods (Q316180) (← links)
- Deterministic convolutional compressed sensing matrices (Q324274) (← links)
- Compressive sampling of polynomial chaos expansions: convergence analysis and sampling strategies (Q349724) (← links)
- The restricted isometry property for time-frequency structured random matrices (Q365713) (← links)
- Remote sensing via \(\ell_1\)-minimization (Q404256) (← links)
- Restricted isometries for partial random circulant matrices (Q412402) (← links)
- Sparse Legendre expansions via \(\ell_1\)-minimization (Q420755) (← links)
- Average best \(m\)-term approximation (Q443892) (← links)
- Sampling, denoising and compression of matrices by coherent matrix organization (Q448484) (← links)
- New bounds for RIC in compressed sensing (Q457549) (← links)
- The restricted isometry property for random block diagonal matrices (Q466970) (← links)
- Compressed sensing with preconditioning for sparse recovery with subsampled matrices of Slepian prolate functions (Q467114) (← links)
- Sparse recovery on Euclidean Jordan algebras (Q471921) (← links)
- Sparse signal recovery using a new class of random matrices (Q520894) (← links)
- Embeddings of operator ideals into \(\mathcal{L}_p\)-spaces on finite von Neumann algebras (Q526359) (← links)
- Total variation reconstruction from quadratic measurements (Q526711) (← links)
- Multiarray signal processing: tensor decomposition meets compressed sensing (Q554104) (← links)
- The Gelfand widths of \(\ell_p\)-balls for \(0 < p \leq 1\) (Q609740) (← links)
- Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices (Q638800) (← links)
- Discrete uncertainty principles and sparse signal processing (Q667658) (← links)
- Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization (Q715240) (← links)
- Analysis of sparse MIMO radar (Q741258) (← links)
- Interpolation via weighted \(\ell_{1}\) minimization (Q905907) (← links)
- Improved bounds for sparse recovery from subsampled random convolutions (Q1634177) (← links)
- Compressed sensing with structured sparsity and structured acquisition (Q1713639) (← links)
- Spark-level sparsity and the \(\ell_1\) tail minimization (Q1748258) (← links)
- A preconditioning approach for improved estimation of sparse polynomial chaos expansions (Q1986404) (← links)
- A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness (Q1987969) (← links)
- Learning general sparse additive models from point queries in high dimensions (Q2007617) (← links)
- Greedy variance estimation for the LASSO (Q2019914) (← links)
- \(L_2\)-norm sampling discretization and recovery of functions from RKHS with finite trace (Q2059812) (← links)
- Fast and memory-optimal dimension reduction using Kac's walk (Q2090615) (← links)
- GenMod: a generative modeling approach for spectral representation of PDEs with random inputs (Q2099749) (← links)
- Sparse recovery of sound fields using measurements from moving microphones (Q2106497) (← links)
- Sampling discretization and related problems (Q2136857) (← links)
- A new upper bound for sampling numbers (Q2143216) (← links)
- Gradient projection Newton pursuit for sparsity constrained optimization (Q2168680) (← links)
- Worst-case recovery guarantees for least squares approximation using random samples (Q2243884) (← links)
- Sparse signals recovery from noisy measurements by orthogonal matching pursuit (Q2254767) (← links)
- Moment inequalities for matrix-valued U-statistics of order 2 (Q2279328) (← links)
- Least squares polynomial chaos expansion: a review of sampling strategies (Q2310855) (← links)
- On the strong restricted isometry property of Bernoulli random matrices (Q2315024) (← links)
- Sparse reconstruction with multiple Walsh matrices (Q2317908) (← links)
- Quantized compressed sensing for random circulant matrices (Q2330944) (← links)
- New analysis of manifold embeddings and signal recovery from compressive measurements (Q2347898) (← links)
- Refined analysis of sparse MIMO radar (Q2360571) (← links)
- On polynomial chaos expansion via gradient-enhanced \(\ell_1\)-minimization (Q2375016) (← links)
- Improved sparse Fourier approximation results: Faster implementations and stronger guarantees (Q2376358) (← links)
- Low rank tensor recovery via iterative hard thresholding (Q2400255) (← links)
- Compressed sensing with local structure: uniform recovery guarantees for the sparsity in levels class (Q2415398) (← links)
