Pages that link to "Item:Q351503"
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The following pages link to A mathematical introduction to compressive sensing (Q351503):
Displaying 50 items.
- (Q4631278) (← links)
- (Q4633017) (← links)
- (Q4633018) (← links)
- Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures (Q4636416) (← links)
- (Q4636996) (← links)
- Compressed Sensing with Nonlinear Fourier Atoms (Q4637342) (← links)
- The homotopy method revisited: Computing solution paths of $\ell _1$-regularized problems (Q4640325) (← links)
- Joint Sparse Recovery Based on Variances (Q4646459) (← links)
- Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator (Q4685334) (← links)
- Fusion frames and distributed sparsity (Q4686245) (← links)
- Self-Calibration and Bilinear Inverse Problems via Linear Least Squares (Q4686916) (← links)
- Least Sparsity of $p$-Norm Based Optimization Problems with $p>1$ (Q4687239) (← links)
- Spherical Designs and Nonconvex Minimization for Recovery of Sparse Signals on the Sphere (Q4689765) (← links)
- (Q4969199) (← links)
- Model selection for hybrid dynamical systems via sparse regression (Q4973922) (← links)
- Computational approaches to non-convex, sparsity-inducing multi-penalty regularization (Q4989924) (← links)
- Binary sparse signal recovery with binary matching pursuit <sup>*</sup> (Q4993901) (← links)
- One-bit compressed sensing via <i> <b>ℓ</b> </i> <sub> <i>p</i> </sub>(<b>0</b> <b><</b> <i>p</i> <b><</b> <b>1</b>)-minimization method (Q5000599) (← links)
- Controllability of Network Opinion in Erdös--Rényi Graphs Using Sparse Control Inputs (Q5000624) (← links)
- Perturbation analysis of low-rank matrix stable recovery (Q5010114) (← links)
- The Dantzig selector: recovery of signal via ℓ <sub>1</sub> − αℓ <sub>2</sub> minimization (Q5014489) (← links)
- A new sufficient condition for sparse vector recovery via ℓ1 − ℓ2 local minimization (Q5016825) (← links)
- Robust Width: A Characterization of Uniformly Stable and Robust Compressed Sensing (Q5020144) (← links)
- Extended Dai-Yuan conjugate gradient strategy for large-scale unconstrained optimization with applications to compressive sensing (Q5023935) (← links)
- Compressive Sensing for Cut Improvement and Local Clustering (Q5027032) (← links)
- Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
- Regularization: From Inverse Problems to Large-Scale Machine Learning (Q5028166) (← links)
- Compressive Learning for Patch-Based Image Denoising (Q5043726) (← links)
- WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions (Q5043741) (← links)
- On the uniqueness of solutions for the basis pursuit in the continuum (Q5044980) (← links)
- When Randomness Helps in Undersampling (Q5044997) (← links)
- Pooled Testing and Its Applications in the COVID-19 Pandemic (Q5051110) (← links)
- A General Framework of Rotational Sparse Approximation in Uncertainty Quantification (Q5052909) (← links)
- Estimation of block sparsity in compressive sensing (Q5052929) (← links)
- (Q5053241) (← links)
- ORKA: Object reconstruction using a K-approximation graph (Q5058112) (← links)
- Convergence rates for the joint solution of inverse problems with compressed sensing data (Q5058467) (← links)
- On block accelerations of quantile randomized Kaczmarz for corrupted systems of linear equations (Q5060698) (← links)
- On the geometry of polytopes generated by heavy-tailed random vectors (Q5066318) (← links)
- Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles (Q5066436) (← links)
- Convergence of Halpern’s Iteration Method with Applications in Optimization (Q5067640) (← links)
- Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography (Q5071173) (← links)
- A Measure Concentration Effect for Matrices of High, Higher, and Even Higher Dimension (Q5071430) (← links)
- Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations (Q5071437) (← links)
- Minimization of $L_1$ Over $L_2$ for Sparse Signal Recovery with Convergence Guarantee (Q5071446) (← links)
- The smoothing objective penalty function method for two-cardinality sparse constrained optimization problems (Q5077161) (← links)
- Gaussian random fields: with and without covariances (Q5080403) (← links)
- Random Sampling and Reconstruction of Sparse Time- and Band-Limited Signals (Q5085209) (← links)
- Overparameterization and Generalization Error: Weighted Trigonometric Interpolation (Q5088865) (← links)
- Stable Image Reconstruction Using Transformed Total Variation Minimization (Q5094633) (← links)
