The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Smoothing strategy along with conjugate gradient algorithm for signal reconstruction (Q2660684) (← links)
- A novel regularization based on the error function for sparse recovery (Q2660696) (← links)
- Convergence and stability analysis of the half thresholding based few-view CT reconstruction (Q2660793) (← links)
- Kesten-McKay law for random subensembles of Paley equiangular tight frames (Q2663141) (← links)
- Sparse optimal stochastic control (Q2663940) (← links)
- Compressive statistical learning with random feature moments (Q2664824) (← links)
- Newton method for \(\ell_0\)-regularized optimization (Q2665935) (← links)
- Convex optimization in sums of Banach spaces (Q2667036) (← links)
- A proximal algorithm with backtracked extrapolation for a class of structured fractional programming (Q2667040) (← links)
- A robust visual image encryption scheme based on controlled quantum walks (Q2668285) (← links)
- On the strong convergence of forward-backward splitting in reconstructing jointly sparse signals (Q2670979) (← links)
- The finite steps of convergence of the fast thresholding algorithms with \(f\)-feedbacks in compressed sensing (Q2672726) (← links)
- Enhanced detection methods for compressive spectrum sensing based on antieigenvalues (Q2676153) (← links)
- \(\ell_1\)-norm in three-qubit quantum entanglement constrained by Yang-Baxter equation (Q2677136) (← links)
- A Dai-Liao-type projection method for monotone nonlinear equations and signal processing (Q2677334) (← links)
- A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond (Q2677830) (← links)
- Reprint of: A forward-backward greedy approach for sparse multiscale learning (Q2679340) (← links)
- Robust signal recovery via \(\ell_{1-2}/ \ell_p\) minimization with partially known support (Q2681229) (← links)
- The geometry of off-the-grid compressed sensing (Q2684465) (← links)
- Compressive sensing using extropy measures of ranked set sampling (Q2685887) (← links)
- Comparison of the performance and reliability between improved sampling strategies for polynomial chaos expansion (Q2688361) (← links)
- Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals (Q2688405) (← links)
- Compressed sensing of low-rank plus sparse matrices (Q2689144) (← links)
- A new hybrid \(l_p\)-\(l_2\) model for sparse solutions with applications to image processing (Q2691208) (← links)
- Applied harmonic analysis and data science. Abstracts from the workshop held November 28 -- December 4, 2021 (hybrid meeting) (Q2693052) (← links)
- Iterative CT reconstruction based on ADMM using shearlet sparse regularization (Q2694038) (← links)
- Solving saddle point problems: a landscape of primal-dual algorithm with larger stepsizes (Q2694516) (← links)
- Zeroth-order nonconvex stochastic optimization: handling constraints, high dimensionality, and saddle points (Q2696568) (← links)
- On sparse recovery algorithms in unions of orthonormal bases (Q2696630) (← links)
- A smoothing proximal gradient algorithm with extrapolation for the relaxation of \({\ell_0}\) regularization problem (Q2696923) (← links)
- Proximal gradient algorithm for nonconvex low tubal rank tensor recovery (Q2697553) (← links)
- Posterior information-based image measurement matrix optimization (Q2697739) (← links)
- A compressed sensing approach to interpolation of fractional Brownian trajectories for a single particle tracking experiment (Q2698195) (← links)
- Sparse estimation: an MMSE approach (Q2700880) (← links)
- On the sparsity of Lasso minimizers in sparse data recovery (Q2700886) (← links)
- Restricted isometry property for matrices whose entries are random variables belonging to some Orlicz spaces \(L_U(\Omega)\) (Q2786959) (← links)
- (Q2787249) (← links)
- Constructions of compressed sensing matrices based on the subspaces of symplectic space over finite fields (Q2788564) (← links)
- Compressive Sensing (Q2789803) (← links)
- Optical Flow (Q2789840) (← links)
- Dynamic T-S fuzzy systems identification based on sparse regularization (Q2789921) (← links)
- Wavelet statistics of sparse and self-similar images (Q2797767) (← links)
- Noise-Shaping Quantization Methods for Frame-Based and Compressive Sampling Systems (Q2799920) (← links)
- OperA: Operator-Based Annihilation for Finite-Rate-of-Innovation Signal Sampling (Q2799931) (← links)
- A practical guide to the recovery of wavelet coefficients from Fourier measurements (Q2800438) (← links)
- Classification of spatiotemporal data via asynchronous sparse sampling: application to flow around a cylinder (Q2806428) (← links)
- An \(\mathcal O(1/{k})\) convergence rate for the variable stepsize Bregman operator splitting algorithm (Q2807288) (← links)
- DC Approximation Approach for ℓ0-minimization in Compressed Sensing (Q2808067) (← links)
- A coordinate descent homotopy method for linearly constrained nonsmooth convex minimization (Q2815509) (← links)
- Guarantees of Riemannian optimization for low rank matrix recovery (Q2818273) (← links)
