- Minfen Shen, Qiong Zhang, Delai Li, Jinyao Yang, Bin Li, “Adaptive Sparse Representation Beamformer for High-Frame-Rate Ultrasound Imaging Instrument”, IEEE Trans. Instrum. Meas., 61, № 5, 2012, 1323
- Aurora Schmidt, Joel B. Harley, Jose M. F. Moura, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012, 209
- Yan-Chong Song, Fei-Yun Wu, Ru Peng, “A neighborhood-based multiple orthogonal least square method for sparse signal recovery”, Signal Processing, 209, 2023, 109044
- Bin Wang, Liaolin Hu, Jingyu An, Guangfei Liu, Jingjing Cao, “Recovery Error Analysis of Noisy Measurement in Compressed Sensing”, Circuits Syst Signal Process, 36, № 1, 2017, 137
- Jianfeng Liu, “State Space-Based Method for the DOA Estimation by the Forward-Backward Data Matrix Using Small Snapshots”, International Journal of Electronics and Telecommunications, 63, № 3, 2017, 315
- Shihong Yao, Arun Kumar Sangaiah, Zhigao Zheng, Tao Wang, “Sparsity estimation matching pursuit algorithm based on restricted isometry property for signal reconstruction”, Future Generation Computer Systems, 88, 2018, 747
- Victor Chernozhukov, Whitney K Newey, Rahul Singh, “Debiased machine learning of global and local parameters using regularized Riesz representers”, The Econometrics Journal, 25, № 3, 2022, 576
- Andrew R Barron, Antony Joseph, 2010 IEEE International Symposium on Information Theory, 2010, 315
- Ferdinand Grimm, Zhenbin Zhang, 2019 10th International Conference on Power Electronics and ECCE Asia (ICPE 2019 - ECCE Asia), 2019, 2505
- M. Aharchaou, A. Levander, “A compressive sensing approach to the high-resolution linear Radon transform: application on teleseismic wavefields”, Geophys. J. Int., 207, № 2, 2016, 811