- Lorenzo Fagiano, Carlo Novara, “Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results”, IEEE Trans. Automat. Contr., 61, № 7, 2016, 1854
- Zeqiang Ma, Wei Dai, Yimin Liu, Xiqin Wang, “Group Sparse Bayesian Learning Via Exact and Fast Marginal Likelihood Maximization”, IEEE Trans. Signal Process., 65, № 10, 2017, 2741
- M. Jyothirmayi, S. Sethu Selvi, P. A. Dinesh, “A Comparison of Block Based Kalman Filter and H-Infinity Algorithms for Blind Image Separation”, Comput Math Model, 32, № 3, 2021, 339
- Xueqian Wang, Gang Li, Yu Liu, Moeness G. Amin, “Two-Level Block Matching Pursuit for Polarimetric Through-Wall Radar Imaging”, IEEE Trans. Geosci. Remote Sensing, 56, № 3, 2018, 1533
- Jieqin Lv, Lei Huang, Yunmei Shi, Xiongjun Fu, “Inverse Synthetic Aperture Radar Imaging Via Modified Smoothed <formula formulatype="inline"><tex Notation="TeX">$L_{0}$</tex></formula> Norm”, Antennas Wirel. Propag. Lett., 13, 2014, 1235
- Matthias Weiß, Academic Press Library in Signal Processing, Volume 7, 2018, 277
- T. Tony Cai, Guangwu Xu, Jun Zhang, “On Recovery of Sparse Signals Via $\ell _{1}$ Minimization”, IEEE Trans. Inform. Theory, 55, № 7, 2009, 3388
- V. Abdu Rahiman, Sudhish N. Gerorge, “A Framework for Super Resolution of Color Images with Missing Samples Using Low Rank Approximation”, Sens Imaging, 23, № 1, 2022, 12
- Bo Peng, Zhen Liu, Xizhang Wei, Xiang Li, “Sinusoidal Frequency Modulation Sparse Recovery for Precession Rate Estimation Using Low-Frequency Long-Range Radar”, IEEE Sensors J., 15, № 12, 2015, 7329
- Da Wei, Dongsheng Li, Jiezhong Huang, “Improved force identification with augmented Kalman filter based on the sparse constraint”, Mechanical Systems and Signal Processing, 167, 2022, 108561