Multiple-prespecified-dictionary sparse representation for compressive sensing image reconstruction with nonconvex regularization
type: Item
instance of: scholarly article
title: Multiple-prespecified-dictionary sparse representation for compressive sensing image reconstruction with nonconvex regularization
zbMATH Open document ID: 1455.94031
author: Yunyi Li
author: Fei Dai
author: Li Xu
author: Guan Gui
author: Xie-Feng Cheng
published in: Journal of the Franklin Institute
publication date: 2019-03-11T00:00:00Z
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7033926
describes a project that uses: BLOOMP
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2018.12.013
OpenAlex ID: W2909095597
cites work: Bayesian signal detection with compressed measurements
cites work: Improved adaptive sparse channel estimation using mixed square/fourth error criterion
cites work: Compressive Sensing via Nonlocal Low-Rank Regularization
cites work: Sparse subspace clustering with jointly learning representation and affinity matrix
cites work: Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization
cites work: Enhancing sparsity by reweighted \(\ell _{1}\) minimization
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Nearly unbiased variable selection under minimax concave penalty
cites work: Group-Based Sparse Representation for Image Restoration
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: Smoothing and Decomposition for Analysis Sparse Recovery
Wikidata QID: Q128575411
DOI: 10.1016/J.JFRANKLIN.2018.12.013
description: scientific article; zbMATH DE number 7033926