The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements (Q5860352) (← links)
- On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective (Q5860373) (← links)
- An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising (Q5860376) (← links)
- Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information (Q5860797) (← links)
- Compressive Imaging Through Optical Fiber with Partial Speckle Scanning (Q5863518) (← links)
- Weighted $\ell_p$-Minimization for Sparse Signal Recovery under Arbitrary Support Prior (Q5864732) (← links)
- Sparse Solutions of a Class of Constrained Optimization Problems (Q5868942) (← links)
- Compressed sensing reconstruction using expectation propagation (Q5869953) (← links)
- Reed-Muller Codes (Q5870775) (← links)
- An analysis of noise folding for low-rank matrix recovery (Q5873939) (← links)
- Bayesian hierarchical dictionary learning (Q5875954) (← links)
- Effect of sensing matrices on quality index parameters for block sparse bayesian learning-based EEG compressive sensing (Q5880583) (← links)
- Required Number of Iterations for Sparse Signal Recovery via Orthogonal Least Squares (Q5881245) (← links)
- Reconstruction of Sparse Polynomials via Quasi-Orthogonal Matching Pursuit Method (Q5881246) (← links)
- A Trust-region Method for Nonsmooth Nonconvex Optimization (Q5881403) (← links)
- What are the Most Important Statistical Ideas of the Past 50 Years? (Q5881991) (← links)
- An efficient semismooth Newton method for adaptive sparse signal recovery problems (Q5882234) (← links)
- The maximum feasible subset problem (maxFS) and applications (Q5884385) (← links)
- Sparse Deep Neural Network for Nonlinear Partial Differential Equations (Q5885722) (← links)
- Optimal group testing (Q5886113) (← links)
- The numerics of phase retrieval (Q5887821) (← links)
- Compressed data separation via unconstrained l1-split analysis (Q5889890) (← links)
- Compressed sensing (Q5900527) (← links)
- A hybrid splitting method for smoothing Tikhonov regularization problem (Q5964876) (← links)
- High-dimensional regression with unknown variance (Q5965306) (← links)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
- Discussion: Latent variable graphical model selection via convex optimization (Q5970644) (← links)
- Discussion: Latent variable graphical model selection via convex optimization (Q5970645) (← links)
- Discussion: Latent variable graphical model selection via convex optimization (Q5970646) (← links)
- Discussion: Latent variable graphical model selection via convex optimization (Q5970647) (← links)
- Discussion: Latent variable graphical model selection via convex optimization (Q5970648) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970923) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970924) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970925) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970926) (← links)
- Discussion: ``A significance test for the lasso'' (Q5970927) (← links)
- Efficient dual ADMMs for sparse compressive sensing MRI reconstruction (Q6040852) (← links)
- Improved RIP-based bounds for guaranteed performance of two compressed sensing algorithms (Q6041666) (← links)
- An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction (Q6041669) (← links)
- \(\mathrm{L_1RIP}\)-based robust compressed sensing (Q6042575) (← links)
- Algebraic compressed sensing (Q6042618) (← links)
- Signal approximations based on nonlinear and optimal piecewise affine functions (Q6044429) (← links)
- An efficient radiation analysis approach through compressive model for laser driven inertial confinement fusion (Q6045169) (← links)
- Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound (Q6051308) (← links)
- Sparse optimization via vector \(k\)-norm and DC programming with an application to feature selection for support vector machines (Q6051312) (← links)
- Seq-SVF: an unsupervised data-driven method for automatically identifying hidden governing equations (Q6051370) (← links)
- Framework for segmented threshold \(\ell_0\) gradient approximation based network for sparse signal recovery (Q6053460) (← links)
- Block sparse signal recovery via minimizing the block \(q\)-ratio sparsity (Q6056243) (← links)
- Block-sparse recovery and rank minimization using a weighted \(l_p-l_q\) model (Q6062413) (← links)
- Random sampling of signals concentrated on compact set in localized reproducing kernel subspace of \(L^p (\mathbb{R}^n)\) (Q6063015) (← links)
