- M. Akcakaya, V. Tarokh, “A Frame Construction and a Universal Distortion Bound for Sparse Representations”, IEEE Trans. Signal Process., 56, no. 6, 2008, 2443
- Chong Luo, Feng Wu, Jun Sun, Chang Wen Chen, “Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering”, IEEE Trans. Wireless Commun., 9, no. 12, 2010, 3728
- Roger Pique-Regi, Antonio Ortega, Ahmed Tewfik, Shahab Asgharzadeh, “Detecting Changes in DNA Copy Number: Reviewing signal processing techniques”, IEEE Signal Process. Mag., 29, no. 1, 2012, 98
- Donghui Li, Zixin Chen, Wanyou Cheng, “Nomonotone spectral gradient method for sparse recovery”, IPI, 9, no. 3, 2015, 815
- Martin Benning, Martin Burger, “Modern regularization methods for inverse problems”, Acta Numerica, 27, 2018, 1
- Ting Jiang, Maozhong Song, Xuejian Zhao, Xu Liu, “Channel Estimation for Millimeter Wave Massive MIMO Systems Using Separable Compressive Sensing”, IEEE Access, 9, 2021, 49738
- Karim Lounici, Massimiliano Pontil, Sara van de Geer, Alexandre B. Tsybakov, “Oracle inequalities and optimal inference under group sparsity”, Ann. Statist., 39, no. 4, 2011
- Alyson K. Fletcher, Sundeep Rangan, “Orthogonal Matching Pursuit: A Brownian Motion Analysis”, IEEE Trans. Signal Process., 60, no. 3, 2012, 1010
- M. Salman Asif, J. Romberg, “Dynamic Updating for $\ell_{1}$ Minimization”, IEEE J. Sel. Top. Signal Process., 4, no. 2, 2010, 421
- Bangjiang Lin, Zabih Ghassemlooy, Junxiang Xu, Qiwei Lai, Xiaohuan Shen, Xuan Tang, “Experimental Demonstration of Compressive Sensing-Based Channel Estimation for MIMO-OFDM VLC”, IEEE Wireless Commun. Lett., 2020, 1