- Shuang Wei, Chungui Tao, Feng Wang, Defu Jiang, 2016 IEEE International Conference on Information and Automation (ICIA), 2016, 1970
- Graeme Pope, Christoph Studer, Michel Baes, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, 3669
- Esmeide Leal, German Sanchez-Torres, John W. Branch, “Sparse Regularization-Based Approach for Point Cloud Denoising and Sharp Features Enhancement”, Sensors, 20, no. 11, 2020, 3206
- Mohammad Mehrabi, Aslan Tchamkerten, 2021 IEEE International Symposium on Information Theory (ISIT), 2021, 1754
- Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad, “Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks”, IEEE Signal Process. Mag., 35, no. 4, 2018, 72
- Jerrad Hampton, Alireza Doostan, Handbook of Uncertainty Quantification, 2015, 1
- Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, 3457
- Xueru Bai, Feng Zhou, Zheng Bao, “High-Resolution Radar Imaging of Space Targets Based on HRRP Series”, IEEE Trans. Geosci. Remote Sensing, 52, no. 5, 2014, 2369
- Jinming Wen, Jian Weng, Chao Tong, Chao Ren, Zhengchun Zhou, “Sparse Signal Recovery With Minimization of 1-Norm Minus 2-Norm”, IEEE Trans. Veh. Technol., 68, no. 7, 2019, 6847
- SÉbastien Bourguignon, HervÉ Carfantan, JÉrÔme Idier, “A Sparsity-Based Method for the Estimation of Spectral Lines From Irregularly Sampled Data”, IEEE J. Sel. Top. Signal Process., 1, no. 4, 2007, 575