Rotem Mulayoff, Tomer Michaeli, “On the Minimal Overcompleteness Allowing Universal Sparse Representation”, IEEE Trans. Inform. Theory, 65, no. 6, 2019, 3585
Zongbo Xie, Jiuchao Feng, “KFCE: A dictionary generation algorithm for sparse representation”, Signal Processing, 89, no. 10, 2009, 2072
Yi Luo, Jacky Jiang, Mengye Cai, Shahriar Mirabbasi, “CMOS computational camera with a two-tap coded exposure image sensor for single-shot spatial-temporal compressive sensing”, Opt. Express, 27, no. 22, 2019, 31475
Sooraj K. Ambat, K.V.S. Hari, “An iterative framework for sparse signal reconstruction algorithms”, Signal Processing, 108, 2015, 351
Haofei Wang, Lingyun Ren, Ozlem Kilic, Aly E. Fathy, 2016 IEEE MTT-S International Microwave Symposium (IMS), 2016, 1
Hongbao Cao, Junbo Duan, Dongdong Lin, Yin Yao Shugart, Vince Calhoun, Yu-Ping Wang, “Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs”, NeuroImage, 102, 2014, 220
Zhenghao Shi, Binxin Xu, Xia Zheng, Minghua Zhao, “A Chinese character structure preserved denoising method for Chinese tablet calligraphy document images based on KSVD dictionary learning”, Multimed Tools Appl, 76, no. 13, 2017, 14921
Alexandre Belloni, Victor Chernozhukov, “Least Squares After Model Selection in High-Dimensional Sparse Models”, SSRN Journal, 2009
Negin Alemazkoor, Hadi Meidani, “A preconditioning approach for improved estimation of sparse polynomial chaos expansions”, Computer Methods in Applied Mechanics and Engineering, 342, 2018, 474
Nabil Madali, Antonin Gilles, Patrick Gioia, Luce Morin, “Automatic depth map retrieval from digital holograms using a depth-from-focus approach”, Appl. Opt., 62, no. 10, 2023, D77