Convergence on thresholding-based algorithms for dictionary-sparse recovery

Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Cites Work

Unnamed Item
Perturbations of measurement matrices and dictionaries in compressed sensing
Compressed sensing with coherent and redundant dictionaries
Iterative hard thresholding for compressed sensing
Hard thresholding pursuit algorithms: number of iterations
A null space analysis of the $\ell_1$-synthesis method in dictionary-based compressed sensing
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit
A simple proof of the restricted isometry property for random matrices
Uniform uncertainty principle for Bernoulli and subgaussian ensembles
Generalizing CoSaMP to signals from a union of low dimensional linear subspaces
Iterative hard thresholding for compressed data separation
Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO
Greedy signal space methods for incoherence and beyond
Greedy-like algorithms for the cosparse analysis model
The Dantzig selector: statistical estimation when $p$ is much larger than $n$. (With discussions and rejoinder).
Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
$\ell^1$-analysis minimization and generalized (co-)sparsity: when does recovery succeed?
Estimation in High Dimensions: A Geometric Perspective
iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model
New and Improved Johnson–Lindenstrauss Embeddings via the Restricted Isometry Property
Hard Thresholding Pursuit: An Algorithm for Compressive Sensing
On sparse reconstruction from Fourier and Gaussian measurements
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Decoding by Linear Programming
Stable recovery of sparse overcomplete representations in the presence of noise
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Split Bregman Methods and Frame Based Image Restoration
Compressed Sensing and Redundant Dictionaries
A Tight Bound of Hard Thresholding
New Bounds for Restricted Isometry Constants With Coherent Tight Frames
CGIHT: conjugate gradient iterative hard thresholding for compressed sensing and matrix completion
Matching pursuits with time-frequency dictionaries
Microlocal Analysis of the Geometric Separation Problem
Subspace Pursuit for Compressive Sensing Signal Reconstruction
On Recovery of Sparse Signals Via $\ell _{1}$ Minimization
Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking
The Fast Johnson–Lindenstrauss Transform and Approximate Nearest Neighbors
On the Convergence Rate of Incremental Aggregated Gradient Algorithms
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit
Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls
Analysis versus synthesis in signal priors
Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries
Compressed Data Separation With Redundant Dictionaries
Some methods of speeding up the convergence of iteration methods
Dictionary-sparse recovery from heavy-tailed measurements
Compressed sensing
Adaptive greedy approximations
Dictionary-sparse recovery via thresholding-based algorithms
Heavy-ball-based hard thresholding algorithms for sparse signal recovery

This page was built for publication: Convergence on thresholding-based algorithms for dictionary-sparse recovery