- Weibin Huang, Hui Li, 2016 11th International Symposium on Antennas, Propagation and EM Theory (ISAPE), 2016, 621
- Valentin Stolbunov, Prasanth B. Nair, “Sparse radial basis function approximation with spatially variable shape parameters”, Applied Mathematics and Computation, 330, 2018, 170
- K. Bertin, E. Le Pennec, V. Rivoirard, “Adaptive Dantzig density estimation”, Ann. Inst. H. Poincaré Probab. Statist., 47, № 1, 2011
- Vinzenz H. Schönfelder, Felix A. Wichmann, “Sparse regularized regression identifies behaviorally-relevant stimulus features from psychophysical data”, The Journal of the Acoustical Society of America, 131, № 5, 2012, 3953
- Paweł Bechler, “Existence of the best n-term approximants for structured dictionaries”, Arch. Math., 99, № 1, 2012, 61
- C. Martínez, J. Goddard, D. Milone, H. Rufiner, “Bioinspired sparse spectro-temporal representation of speech for robust classification”, Computer Speech & Language, 26, № 5, 2012, 336
- Gaofeng Ren, Shushan Qiao, Yong Hei, WAMICON 2014, 2014, 1
- Lu Wang, Lifan Zhao, Guoan Bi, Chunru Wan, “Sparse Representation-Based ISAR Imaging Using Markov Random Fields”, IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 8, № 8, 2015, 3941
- Jan Christian Hauffen, Peter Jung, Nicole Mücke, “Algorithm unfolding for block-sparse and MMV problems with reduced training overhead”, Front. Appl. Math. Stat., 9, 2023, 1205959
- Manu Parmar, Steven Lansel, Brian A. Wandell, 2008 15th IEEE International Conference on Image Processing, 2008, 473