161 citations to https://www.mathnet.ru/eng/tit3
  1. Xiao-Li Hu, Jiajun Wen, Zhihui Lai, Wai Keung Wong, Linlin Shen, “Binary sparse signal recovery algorithms based on logic observation”, Pattern Recognition, 90 (2019), 147  crossref
  2. Zhe Wu, Qiang Zhang, Lifeng Cheng, Shengyue Tan, “A New Method of Two-stage Planetary Gearbox Fault Detection Based on Multi-Sensor Information Fusion”, Applied Sciences, 9:24 (2019), 5443  crossref
  3. Hamza Djelouat, Abbes Amira, Faycal Bensaali, “Compressive Sensing-Based IoT Applications: A Review”, JSAN, 7:4 (2018), 45  crossref
  4. Xiaolun Cai, Zhengchun Zhou, Yang Yang, Yong Wang, “Improved Sufficient Conditions for Support Recovery of Sparse Signals Via Orthogonal Matching Pursuit”, IEEE Access, 6 (2018), 30437  crossref
  5. Rui Qi, Diwei Yang, Yujie Zhang, Hongwei Li, “On recovery of block sparse signals via block generalized orthogonal matching pursuit”, Signal Processing, 153 (2018), 34  crossref
  6. Haifeng Li, Guoqi Liu, “An Improved Analysis for Support Recovery With Orthogonal Matching Pursuit Under General Perturbations”, IEEE Access, 6 (2018), 18856  crossref
  7. R. Ponuma, R. Amutha, Studies in Computational Intelligence, 730, Advances in Soft Computing and Machine Learning in Image Processing, 2018, 373  crossref
  8. Poonam Goyal, Brahmjit Singh, “Greedy algorithms for sparse signal recovery based on temporally correlated experimental data in WSNs”, Arab J Sci Eng, 43:12 (2018), 7253  crossref
  9. K. Ashwini, R. Amutha, “Compressive sensing based simultaneous fusion and compression of multi-focus images using learned dictionary”, Multimed Tools Appl, 77:19 (2018), 25889  crossref
  10. Yanglong Lu, Yan Wang, “Monitoring temperature in additive manufacturing with physics-based compressive sensing”, Journal of Manufacturing Systems, 48 (2018), 60  crossref
Previous
1
5
6
7
8
9
10
11
17
Next