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Joint Sparse Recovery Based on Variances

Published:2019-01 Issue:1 Volume:41 Page:A246-A268
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Adcock Ben,Gelb Anne^ORCID,Song Guohui^ORCID,Sui Yi

Funder

Alfred P. Sloan Foundation

Air Force Office of Scientific Research

Natural Sciences and Engineering Research Council of Canada

National Natural Science Foundation of China

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/17M1155983

Reference29 articles.

1. Generalized Sampling and Infinite-Dimensional Compressed Sensing

2. Greedy Algorithms for Joint Sparse Recovery

3. Sparse Recovery From Combined Fusion Frame Measurements

4. Enhancing Sparsity by Reweighted ℓ 1 Minimization

5. Compressed Sensing and Parallel Acquisition

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1. A structurally informed data assimilation approach for nonlinear partial differential equations;Journal of Computational Physics;2024-12

2. Joint sparse optimization: lower-order regularization method and application in cell fate conversion;Inverse Problems;2024-07-23

3. Leveraging Joint Sparsity in Hierarchical Bayesian Learning;SIAM/ASA Journal on Uncertainty Quantification;2024-05-24

4. Complex-Valued Image Recovery from Multiple Measurements;2024 IEEE Conference on Computational Imaging Using Synthetic Apertures (CISA);2024-05-20

5. A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations;2024

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