Sparse reconstruction via the mixture optimization model with iterative support estimate

DOI10.1016/j.ins.2021.05.078OpenAlexW3170408466MaRDI QIDQ6065953

Publication date: 11 December 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.05.078

zbMATH Keywords

sparse signal reconstruction iterative support detection $\ell_0$ minimization reweighted $\ell_1$ minimization

Mathematics Subject Classification ID

Convex programming (90C25) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Interior-point methods (90C51) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

Unnamed Item
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
A mathematical introduction to compressive sensing
Enhancing sparsity by reweighted $\ell _{1}$ minimization
A bilinear formulation for vector sparsity optimization
Sparsest solutions of underdetermined linear systems via $ \ell _q$-minimization for $0<q\leqslant 1$
Recovery of signals under the condition on RIC and ROC via prior support information
Sparse approximate reconstruction decomposed by two optimization problems
Sparse signal reconstruction via the approximations of $\ell_0$ quasinorm
Recovery analysis for weighted $\ell_{1}$-minimization using the null space property
Learning sparse classifiers with difference of convex functions algorithms
Compressed sensing and best 𝑘-term approximation
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Decoding by Linear Programming
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Iteratively reweighted least squares minimization for sparse recovery
Image compression through wavelet transform coding
Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support
Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information
Click Prediction for Web Image Reranking Using Multimodal Sparse Coding
Sparse Regularization via Convex Analysis
Sparse Approximate Solutions to Linear Systems
Reweighted $\ell_1$-Minimization for Sparse Solutions to Underdetermined Linear Systems
Adaptive Hypergraph Learning and its Application in Image Classification
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ ¹ minimization
Sparse Signal Reconstruction via Iterative Support Detection
Compressed sensing

This page was built for publication: Sparse reconstruction via the mixture optimization model with iterative support estimate