Shaohua Xie, Kaihao Liang, “k Block Sparse Vector Recovery via Block $\ell _1-\ell _2$ Minimization”, Circuits Syst Signal Process, 42, № 5, 2023, 2897
Jing Han, Jiang Yue, Yi Zhang, Lianfa Bai, “Local Sparse Structure Denoising for Low-Light-Level Image”, IEEE Trans. on Image Process., 24, № 12, 2015, 5177
Jun Ye, Zhong Jin, 7751, Intelligent Science and Intelligent Data Engineering, 2013, 1
Jinming Wen, Dongfang Li, Fumin Zhu, “Stable recovery of sparse signals via lp-minimization”, Applied and Computational Harmonic Analysis, 38, № 1, 2015, 161
Laming Chen, Yuantao Gu, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, 3350
Jaewook Kang, Heung-No Lee, Kiseon Kim, “Bayesian Hypothesis Test Using Nonparametric Belief Propagation for Noisy Sparse Recovery”, IEEE Trans. Signal Process., 63, № 4, 2015, 935
Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda, “Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems”, IEEE Trans. Inform. Theory, 66, № 9, 2020, 5904
Haifeng Li, Hao Ying, Xiaoli Liu, “Binary generalized orthogonal matching pursuit”, Japan J. Indust. Appl. Math., 41, № 1, 2024, 1
Wenhui Liu, Anhua Wan, “Stable recovery of approximately block k-sparse signals with partial block support information via weighted $\ell _2/\ell _p\,(0<p\le 1)$ minimization”, Comp. Appl. Math., 43, № 4, 2024, 185
Clara Fannjiang, “Optimal arrays for compressed sensing in snapshot-mode radio interferometry”, A&A, 559, 2013, A73