Second order self-adaptive dynamical system for sparse signal reconstruction and applications to image recovery

Cites Work

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CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Breakdown of equivalence between the minimal \(\ell^1\)-norm solution and the sparsest solution
Inertial relaxed \textit{CQ} algorithms for solving a split feasibility problem in Hilbert spaces
A linearly convergent algorithm without prior knowledge of operator norms for solving \(\ell_1 - \ell_2\) minimization
Convergence rates for forward-backward dynamical systems associated with strongly monotone inclusions
The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
A dynamical system method for solving the split convex feasibility problem
Second Order Forward-Backward Dynamical Systems For Monotone Inclusion Problems
Self-adaptive projection methods for the multiple-sets split feasibility problem
Solving the split feasibility problem without prior knowledge of matrix norms
Dynamical systems and forward–backward algorithms associated with the sum of a convex subdifferential and a monotone cocoercive operator
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Just relax: convex programming methods for identifying sparse signals in noise
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
A unified treatment of some iterative algorithms in signal processing and image reconstruction
On the Minimizing Property of a Second Order Dissipative System in Hilbert Spaces
Iterative oblique projection onto convex sets and the split feasibility problem
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals
The relaxed CQ algorithm solving the split feasibility problem
For most large underdetermined systems of linear equations the minimal 𝓁₁‐norm solution is also the sparsest solution
Some methods of speeding up the convergence of iteration methods
Convex analysis and monotone operator theory in Hilbert spaces

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