Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sensing
From MaRDI portal
Publication:508757
DOI10.1016/j.ins.2014.08.018zbMath1355.94018OpenAlexW2052460458MaRDI QIDQ508757
Xiaodong Wang, Jiao Wu, Jianrui Chen, Li-Cheng Jiao, Fang Liu
Publication date: 8 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.08.018
convex optimizationKKT conditionssparse reconstructionbasis pursuit denoising (BPDN)compressed sensing (CS)truncated conjugate gradient method
Related Items
Smoothing strategy along with conjugate gradient algorithm for signal reconstruction, Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction, Signal reconstruction by conjugate gradient algorithm based on smoothing \(l_1\)-norm
Uses Software
Cites Work
- Unnamed Item
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- A coordinate gradient descent method for \(\ell_{1}\)-regularized convex minimization
- Accelerated projected gradient method for linear inverse problems with sparsity constraints
- Wavelets and curvelets for image deconvolution: a combined approach
- A coordinate gradient descent method for nonsmooth separable minimization
- CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
- Extensions of compressed sensing
- Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit
- Least angle regression. (With discussion)
- Atomic Decomposition by Basis Pursuit
- Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing
- Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
- An EM algorithm for wavelet-based image restoration
- Decoding by Linear Programming
- Solving Karush--Kuhn--Tucker Systems via the Trust Region and the Conjugate Gradient Methods
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Matching pursuits with time-frequency dictionaries
- Subspace Pursuit for Compressive Sensing Signal Reconstruction
- Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit
- Learning with $\ell ^{1}$-graph for image analysis
- Compressed sensing
- Adaptive greedy approximations
