References in zbMATH (referenced in 63 articles )

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  1. Huang, Yong; Beck, James L.; Li, Hui; Ren, Yulong: Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences (2021)
  2. Ke, Chengyu; Ahn, Miju; Shin, Sunyoung; Lou, Yifei: Iteratively reweighted group Lasso based on log-composite regularization (2021)
  3. Zhang, Jian-Jun; Ye, Wan-Zhou: A modulus-based iterative method for sparse signal recovery (2021)
  4. Chen, Huangyue; Kong, Lingchen; Shang, Pan; Pan, Shanshan: Safe feature screening rules for the regularized Huber regression (2020)
  5. Han, Deguang; Larson, David; Scholze, Sam; Sun, Wenchang: Erasure recovery matrices for encoder protection (2020)
  6. Hong, Mingyi; Chang, Tsung-Hui; Wang, Xiangfeng; Razaviyayn, Meisam; Ma, Shiqian; Luo, Zhi-Quan: A block successive upper-bound minimization method of multipliers for linearly constrained convex optimization (2020)
  7. Mousavi, Ahmad; Rezaee, Mehdi; Ayanzadeh, Ramin: A survey on compressive sensing: classical results and recent advancements (2020)
  8. Tu, Kai; Zhang, Haibin; Gao, Huan; Feng, Junkai: A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems (2020)
  9. Wang, Jianjun; Huang, Jianwen; Zhang, Feng; Wang, Wendong: Group sparse recovery in impulsive noise via alternating direction method of multipliers (2020)
  10. Bredies, Kristian; Vicente, David: A perfect reconstruction property for PDE-constrained total-variation minimization with application in quantitative susceptibility mapping (2019)
  11. Gelb, Anne; Scarnati, Theresa: Reducing effects of bad data using variance based joint sparsity recovery (2019)
  12. Mei, Jin-Jin; Dong, Yiqiu; Huang, Ting-Zhu: Simultaneous image fusion and denoising by using fractional-order gradient information (2019)
  13. Perry, Daniel J.; Kirby, Robert M.; Narayan, Akil; Whitaker, Ross T.: Allocation strategies for high fidelity models in the multifidelity regime (2019)
  14. Wang, Jian-Li; Huang, Ting-Zhu; Ma, Tian-Hui; Zhao, Xi-Le; Chen, Yong: A sheared low-rank model for oblique stripe removal (2019)
  15. Wu, Caiying; Zhan, Jiaming; Lu, Yue; Chen, Jein-Shan: Signal reconstruction by conjugate gradient algorithm based on smoothing (l_1)-norm (2019)
  16. Xu, Yangyang: Asynchronous parallel primal-dual block coordinate update methods for affinely constrained convex programs (2019)
  17. Kumar, Ahlad; Ahmad, M. Omair; Swamy, M. N. S.: An efficient denoising framework using weighted overlapping group sparsity (2018)
  18. Li, Yingyi; Zhang, Haibin; Li, Zhibao; Gao, Huan: Proximal gradient method with automatic selection of the parameter by automatic differentiation (2018)
  19. Lu, Zhaosong; Chen, Xiaojun: Generalized conjugate gradient methods for (\ell_1) regularized convex quadratic programming with finite convergence (2018)
  20. Sun, Tao; Yin, Penghang; Cheng, Lizhi; Jiang, Hao: Alternating direction method of multipliers with difference of convex functions (2018)

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