Pages that link to "Item:Q927127"

The following pages link to The restricted isometry property and its implications for compressed sensing (Q927127):

Displaying 50 items.

• The gap between the null space property and the restricted isometry property (Q273151) (← links)
• Best subset selection via a modern optimization lens (Q282479) (← links)
• Derandomizing restricted isometries via the Legendre symbol (Q295815) (← links)
• An orthogonal method for measurement matrix optimization (Q308066) (← links)
• A class of deterministic sensing matrices and their application in harmonic detection (Q318592) (← links)
• Deterministic bounds for restricted isometry in compressed sensing matrices (Q334406) (← links)
• Distributed compressed sensing for multi-sourced fusion and secure signal processing in private cloud (Q337920) (← links)
• Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods (Q340007) (← links)
• Reweighted \(\ell_1\) minimization method for stochastic elliptic differential equations (Q347862) (← links)
• A weighted \(\ell_1\)-minimization approach for sparse polynomial chaos expansions (Q349012) (← links)
• A mathematical introduction to compressive sensing (Q351503) (← links)
• Block sparse recovery via mixed \(l_2/l_1\) minimization (Q353620) (← links)
• Improved FOCUSS method for reconstruction of cluster structured sparse signals in radar imaging (Q362317) (← links)
• Recovery of high-dimensional sparse signals via \(\ell_1\)-minimization (Q364458) (← links)
• The bounds of restricted isometry constants for low rank matrices recovery (Q365859) (← links)
• ParNes: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals (Q372857) (← links)
• Theory of compressive sensing via \(\ell_1\)-minimization: a non-RIP analysis and extensions (Q384215) (← links)
• Nonconvex compressed sampling of natural images and applications to compressed MR imaging (Q408496) (← links)
• Restricted isometries for partial random circulant matrices (Q412402) (← links)
• Recovery of sparsest signals via \(\ell^q \)-minimization (Q413642) (← links)
• Sparse Legendre expansions via \(\ell_1\)-minimization (Q420755) (← links)
• The residual method for regularizing ill-posed problems (Q425458) (← links)
• Numerically erasure-robust frames (Q442671) (← links)
• Convex feasibility modeling and projection methods for sparse signal recovery (Q442713) (← links)
• New bounds for RIC in compressed sensing (Q457549) (← links)
• The restricted isometry property for random block diagonal matrices (Q466970) (← links)
• Stable recovery of sparse signals via \(\ell_p\)-minimization (Q466983) (← links)
• Compressed sensing with preconditioning for sparse recovery with subsampled matrices of Slepian prolate functions (Q467114) (← links)
• Sparse recovery on Euclidean Jordan algebras (Q471921) (← links)
• Compressed sensing with coherent tight frames via \(l_q\)-minimization for \(0 < q \leq 1\) (Q479885) (← links)
• Sparse dual frames and dual Gabor functions of minimal time and frequency supports (Q485118) (← links)
• The road to deterministic matrices with the restricted isometry property (Q485193) (← links)
• \(L_1\)-penalization in functional linear regression with subgaussian design (Q487731) (← links)
• Equivalence and strong equivalence between the sparsest and least \(\ell _1\)-norm nonnegative solutions of linear systems and their applications (Q489110) (← links)
• On the null space property of \(l_q\)-minimization for \(0 < q \leq 1\) in compressed sensing (Q492558) (← links)
• Compressive sensing using chaotic sequence based on Chebyshev map (Q494825) (← links)
• Toward a unified theory of sparse dimensionality reduction in Euclidean space (Q496171) (← links)
• Bayesian signal detection with compressed measurements (Q508772) (← links)
• Finding a low-rank basis in a matrix subspace (Q517309) (← links)
• The sparsest solutions to \(Z\)-tensor complementarity problems (Q519760) (← links)
• Sparse recovery under weak moment assumptions (Q520739) (← links)
• Sparse signal recovery using a new class of random matrices (Q520894) (← links)
• Compressed sensing for quaternionic signals (Q523053) (← links)
• What happens to a manifold under a bi-Lipschitz map? (Q527443) (← links)
• An iteratively approximated gradient projection algorithm for sparse signal reconstruction (Q529940) (← links)
• The null space property for sparse recovery from multiple measurement vectors (Q533503) (← links)
• Observability for initial value problems with sparse initial data (Q533508) (← links)
• Two-dimensional random projection (Q537260) (← links)
• On uncertainty principles in the finite dimensional setting (Q541940) (← links)
• Compressed sensing with coherent and redundant dictionaries (Q544040) (← links)