The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Necessary and sufficient conditions of solution uniqueness in 1-norm minimization (Q2260650) (← links)
- Extragradient thresholding methods for sparse solutions of co-coercive ncps (Q2260937) (← links)
- Accelerating dynamic cardiac MR imaging using structured sparse representation (Q2262028) (← links)
- An object-oriented simulator for 3D digital breast tomosynthesis imaging system (Q2262076) (← links)
- \(Lp\)-norm regularization in volumetric imaging of cardiac current sources (Q2262105) (← links)
- MR image reconstruction based on iterative split Bregman algorithm and nonlocal total variation (Q2262388) (← links)
- Parallel computing of patch-based nonlocal operator and its application in compressed sensing MRI (Q2262432) (← links)
- Sparse-view ultrasound diffraction tomography using compressed sensing with nonuniform FFT (Q2262459) (← links)
- Cirrhosis classification based on texture classification of random features (Q2262534) (← links)
- A CT reconstruction algorithm based on non-aliasing contourlet transform and compressive sensing (Q2262624) (← links)
- A CT reconstruction algorithm based on \(L_{1/2}\) regularization (Q2262682) (← links)
- 3D alternating direction TV-based cone-beam CT reconstruction with efficient GPU implementation (Q2262735) (← links)
- A numerical exploration of compressed sampling recovery (Q2267399) (← links)
- Stability and instance optimality for Gaussian measurements in compressed sensing (Q2269902) (← links)
- Data science, big data and statistics (Q2273155) (← links)
- Iterative re-weighted least squares algorithm for \(l_p\)-minimization with tight frame and \(0 < p \leq 1\) (Q2273889) (← links)
- Structured sparsity promoting functions (Q2275318) (← links)
- On a monotone scheme for nonconvex nonsmooth optimization with applications to fracture mechanics (Q2275329) (← links)
- Sparsity of solutions for variational inverse problems with finite-dimensional data (Q2278144) (← links)
- Super-resolution by means of Beurling minimal extrapolation (Q2278456) (← links)
- On rank awareness, thresholding, and MUSIC for joint sparse recovery (Q2278470) (← links)
- Signal reconstruction by conjugate gradient algorithm based on smoothing \(l_1\)-norm (Q2279178) (← links)
- An adaptive family of projection methods for constrained monotone nonlinear equations with applications (Q2279399) (← links)
- Distributed compressed sensing based joint detection and tracking for multistatic radar system (Q2282056) (← links)
- Projective robust nonnegative factorization (Q2282869) (← links)
- Sparsity in max-plus algebra and systems (Q2286330) (← links)
- A gradient descent based algorithm for \(\ell_p\) minimization (Q2286916) (← links)
- An effective algorithm for the spark of sparse binary measurement matrices (Q2287709) (← links)
- Analysis of compressed distributed adaptive filters (Q2288711) (← links)
- Lagrangian relaxation graph matching (Q2289603) (← links)
- Non-orthogonal sampling as the basis for video data compression and reconstruction (Q2290514) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- A compressive sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud (Q2293031) (← links)
- An efficient privacy-preserving compressive data gathering scheme in WSNs (Q2293079) (← links)
- An accelerated version of alternating direction method of multipliers for TV minimization in EIT (Q2293764) (← links)
- A new smoothed L0 regularization approach for sparse signal recovery (Q2298142) (← links)
- Compressed sensing MRI reconstruction with multiple sparsity constraints on radial sampling (Q2298333) (← links)
- Approximate support recovery of atomic line spectral estimation: a tale of resolution and precision (Q2300766) (← links)
- How to get high resolution results from sparse and coarsely sampled data (Q2300771) (← links)
- Information based complexity for high dimensional sparse functions (Q2303421) (← links)
- An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces (Q2305537) (← links)
- On privacy preserving data release of linear dynamic networks (Q2307532) (← links)
- Accelerated iterative hard thresholding algorithm for \(l_0\) regularized regression problem (Q2307753) (← links)
- A Gauss-Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems (Q2307755) (← links)
- Joint image compression-encryption scheme using entropy coding and compressive sensing (Q2308152) (← links)
- Divide and conquer: an incremental sparsity promoting compressive sampling approach for polynomial chaos expansions (Q2309799) (← links)
- Deterministic constructions of compressed sensing matrices based on codes (Q2311429) (← links)
- Reconstruction of jointly sparse vectors via manifold optimization (Q2311804) (← links)
- A note on block-sparse signal recovery with coherent tight frames (Q2312304) (← links)
- New conditions on stable recovery of weighted sparse signals via weighted \(l_1\) minimization (Q2312513) (← links)
