- Yongwei Li, 2024 8th International Conference on Robotics, Control and Automation (ICRCA), 2024, 217
- A. Hadj Brahim, A. Ali Pacha, N. Hadj Said, “An image compression-encryption scheme based on compressive sensing and hyperchaotic system”, J Opt, 2024
- Xizhe Xie, Ning Bi, Wengu Chen, “Sparse recovery with coherent frames via ℓ1−2-analysis”, Int. J. Wavelets Multiresolut Inf. Process., 22, № 05, 2024, 2450017
- Kyung-Won Kim, Myung-Don Kim, “Correlated and Superposed Signal Decomposition for Multipath Channel Parameterization”, Antennas Wirel. Propag. Lett., 23, № 10, 2024, 2865
- Simon Ruetz, “Adapted Variable Density Subsampling for Compressed Sensing”, Constr Approx, 2024
- Qing‐Yang Guan, “Analysis for sparse channel representation based on dictionary learning in massive MIMO systems”, IET Communications, 2024, cmu2.12850
- Shoukath Ali K, Sajan P Philip, Perarasi T, “Gaussian Mixture—Expectation Maximization–Based Learned AMP Network With CNN Deep Residual Network for Millimeter Wave Communication”, Int J Communication, 2024, e6007
- Shujun Bi, Lan Zhou, Shaohua Pan, “Sparse Signal Reconstruction: Sequential Convex Relaxation, Restricted Null Space Property, and Error Bounds”, IEEE Trans. Inform. Theory, 70, № 11, 2024, 8378
- Yusu Hong, Junhong Lin, “Convergence on Thresholding-Based Algorithms for Dictionary-Sparse Recovery”, J Fourier Anal Appl, 31, № 1, 2025, 2
- Gal Morgenstern, Tirza Routtenberg, “Efficient Recovery of Sparse Graph Signals From Graph Filter Outputs”, IEEE Trans. Signal Process., 72, 2024, 5550