161 citations to https://www.mathnet.ru/eng/tit3
  1. Ranjeet Kumar Singh, Binod Kumar, Dilip Kumar Shaw, Danish Ali Khan, “Level by level image compression-encryption algorithm based on quantum chaos map”, Journal of King Saud University - Computer and Information Sciences, 33:7 (2021), 844  crossref
  2. Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet, “When does OMP achieve exact recovery with continuous dictionaries?”, Applied and Computational Harmonic Analysis, 51 (2021), 374  crossref
  3. Chaoqing Tang, Gui Yun Tian, Jianbo Wu, “Segmentation-Oriented Compressed Sensing for Efficient Impact Damage Detection on CFRP Materials”, IEEE/ASME Trans. Mechatron., 26:5 (2021), 2528  crossref
  4. Ningning Han, Shidong Li, Zhanjie Song, “Efficient iterative thresholding algorithms with functional feedbacks and null space tuning”, Signal Processing, 188 (2021), 108199  crossref
  5. Renjie Ni, Fan Wang, Jun Wang, Yuhen Hu, “Multi-Image Encryption Based on Compressed Sensing and Deep Learning in Optical Gyrator Domain”, IEEE Photonics J., 13:3 (2021), 1  crossref
  6. Haeung Choi, Sangjun Park, Heung-No Lee, “Covert Anti-Jamming Communication Based on Gaussian Coded Modulation”, Applied Sciences, 11:9 (2021), 3759  crossref
  7. Jinming Wen, Haifeng Li, “Binary sparse signal recovery with binary matching pursuit *”, Inverse Problems, 37:6 (2021), 065014  crossref
  8. Haifeng Li, Jinming Wen, Jun Xian, Jing Zhang, “Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit *”, Inverse Problems, 37:11 (2021), 115007  crossref
  9. Zeric Tabekoueng Njitacke, Nestor Tsafack, Balamurali Ramakrishnan, Kartikeyan Rajagopal, Jacques Kengne, Jan Awrejcewicz, “Complex dynamics from heterogeneous coupling and electromagnetic effect on two neurons: Application in images encryption”, Chaos, Solitons & Fractals, 153 (2021), 111577  crossref
  10. Bo Liu, Huijian Li, Mohamed Mohandes, Ali Al-Shaikhi, Ling Zhao, “A Robust Scheme for Sparse Reflectivity Recovering From Uniformly Quantized Seismic Data”, IEEE Trans. Geosci. Remote Sensing, 58:12 (2020), 8665  crossref
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