1520 citations to 10.1109/TIT.2005.860430 (Crossref Cited-By Service)
  1. Lorenzo Fagiano, Carlo Novara, “Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results”, IEEE Trans. Automat. Contr., 61, № 7, 2016, 1854  crossref
  2. 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  crossref
  3. 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  crossref
  4. 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  crossref
  5. 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  crossref
  6. Matthias Weiß, Academic Press Library in Signal Processing, Volume 7, 2018, 277  crossref
  7. T. Tony Cai, Guangwu Xu, Jun Zhang, “On Recovery of Sparse Signals Via $\ell _{1}$ Minimization”, IEEE Trans. Inform. Theory, 55, № 7, 2009, 3388  crossref
  8. 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  crossref
  9. 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  crossref
  10. 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  crossref
Предыдущая
1
18
19
20
21
22
23
24
152
Следующая