Pages that link to "Item:Q927127"
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The following pages link to The restricted isometry property and its implications for compressed sensing (Q927127):
Displaying 50 items.
- Multi-Layer Sparse Coding: The Holistic Way (Q5025774) (← links)
- Tensor Regression Using Low-Rank and Sparse Tucker Decompositions (Q5037550) (← links)
- A General Framework of Rotational Sparse Approximation in Uncertainty Quantification (Q5052909) (← links)
- GNMR: A Provable One-Line Algorithm for Low Rank Matrix Recovery (Q5089733) (← links)
- Data Analytics on Graphs Part II: Signals on Graphs (Q5094177) (← links)
- Recovery analysis for block ℓp − ℓ1 minimization with prior support information (Q5097858) (← links)
- (Q5104111) (← links)
- Robust recovery of signals with partially known support information using weighted BPDN (Q5132234) (← links)
- An unbiased approach to compressed sensing (Q5132273) (← links)
- Scalable Algorithms for the Sparse Ridge Regression (Q5148400) (← links)
- Error Localization of Best $L_{1}$ Polynomial Approximants (Q5151924) (← links)
- Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control (Q5152596) (← links)
- The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty (Q5162621) (← links)
- Variance-stabilization-based compressive inversion under Poisson or Poisson–Gaussian noise with analytical bounds (Q5193502) (← links)
- Optimal $k$-Thresholding Algorithms for Sparse Optimization Problems (Q5210512) (← links)
- Weak Stability of <i>ℓ</i><sub>1</sub>-Minimization Methods in Sparse Data Reconstruction (Q5219713) (← links)
- Minimization of the difference of Nuclear and Frobenius norms for noisy low rank matrix recovery (Q5221434) (← links)
- Sparse recovery from extreme eigenvalues deviation inequalities (Q5228345) (← links)
- Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models (Q5230426) (← links)
- Characterization of ℓ1 minimizer in one-bit compressed sensing (Q5236754) (← links)
- Stable and robust $\ell_p$-constrained compressive sensing recovery via robust width property (Q5242974) (← links)
- Sparse recovery with general frame via general-dual-based analysis Dantzig selector (Q5243701) (← links)
- Compressive Sampling for Energy Spectrum Estimation of Turbulent Flows (Q5258610) (← links)
- On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels (Q5266378) (← links)
- Stable recovery of sparse signals with coherent tight frames via lp-analysis approach (Q5269879) (← links)
- A Remark on the Restricted Isometry Property in Orthogonal Matching Pursuit (Q5271897) (← links)
- The Restricted Isometry Property of Subsampled Fourier Matrices (Q5278293) (← links)
- Local flow characterization using bioinspired sensory information (Q5364659) (← links)
- Compressed Sensing with Restricted Isometry Property (Q5383572) (← links)
- Influences of preconditioning on the mutual coherence and the restricted isometry property of Gaussian/Bernoulli measurement matrices (Q5741242) (← links)
- Weighted lp − l1 minimization methods for block sparse recovery and rank minimization (Q5856318) (← links)
- Towards Statistically Provable Geometric 3D Human Pose Recovery (Q5860283) (← links)
- Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography (Q5860294) (← links)
- Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information (Q5860797) (← links)
- Supervised-distributed control with joint performance and communication optimisation (Q5863715) (← links)
- Compressed sensing reconstruction using expectation propagation (Q5869953) (← links)
- Compressed sensing (Q5900527) (← links)
- A smoothing inertial neural network for sparse signal reconstruction with noise measurements via \(L_p-L_1\) minimization (Q6045814) (← links)
- Non-Cartesian spiral binary sensing matrices (Q6046483) (← links)
- The null space property of the weighted ℓr − ℓ1 minimization (Q6052297) (← links)
- Framework for segmented threshold \(\ell_0\) gradient approximation based network for sparse signal recovery (Q6053460) (← links)
- Block-sparse recovery and rank minimization using a weighted \(l_p-l_q\) model (Q6062413) (← links)
- (Q6073213) (← links)
- Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function (Q6077029) (← links)
- Smoothing inertial neurodynamic approach for sparse signal reconstruction via \(L_p\)-norm minimization (Q6078747) (← links)
- Sparse broadband beamformer design via proximal optimization Techniques (Q6085622) (← links)
- Approximation Analysis of Convolutional Neural Networks (Q6090346) (← links)
- A neurodynamic algorithm for sparse signal reconstruction with finite-time convergence (Q6135543) (← links)
- Binary generalized orthogonal matching pursuit (Q6139330) (← links)
- (Q6167151) (← links)
