| 1 | Dnoho D L . Compressed sensing. IEEE Trans Inf Theory, 2006, 52 (4): 1289- 1306 | | 2 | Duarte M F , Davenport M A , Takhar D , et al. Single-pixel imaging via compressive sampling. IEEE Signal Processing Magazine, 2008, 25 (2): 83- 91 | | 3 | Candés E J , Tao T . The power of convex relaxation: Near-optimal matrix completion. IEEE Trans Inf Theory, 2010, 56 (5): 2053- 2080 | | 4 | Vasanawala S , Alley M , Hargresves B , et al. Improved pediatric MR imaging with compressed sensing. Radiology, 2010, 256 (2): 607- 616 | | 5 | Candes E J , Romberg J , Tao T . Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory, 2006, 52 (2): 489- 509 | | 6 | Rezaiifar Y, Krishnaprasad P S. Orthogonal Matching Pursuit: Recursive Function Approximation with Applications to Wavelet Decomposition[C]//Proceedings of 27th Asilomar Conference on Signals, Systems & Computers. Pacific Grove, CA: IEEE, 2002 | | 7 | Dnoho D L , Tsaig Y , Drori I , et al. Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit. IEEE Trans Inf Theory, 2012, 58 (2): 1094- 1121 | | 8 | Needell D , Tropp J A . Iterative signal recovery from incomplete and inaccurate samples. Appl Comput Harmon Anal, 2009, 26 (3): 301- 321 | | 9 | Dai W , Milenkovic O . Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans Inf Theory, 2009, 55 (5): 4316- 4332 | | 10 | Wang J , Kwon S , Shim B . Generalized orthogonal matching pursuit. IEEE Trans Signal Processing, 2012, 60 (12): 6202- 6216 | | 11 | 李峰, 郭毅. 压缩感知浅析. 北京: 科学出版社, 2015 | | 11 | Li F , Guo Y . Compression Perception Analysed. Beijing: Science Press, 2015 | | 12 | Foucart S, Rauhut H. A Mathematical Introduction to Compressive Sensing. Berlin: Springer-Verlag, 2013 | | 13 | Davenport A M , Wakin B M . Analysis of orthogonal matching pursuit using restricted isometry property. IEEE Trans Inf Theory. Theory, 2010, 56, 4395- 4401 | | 14 | Liu E , Temlyakov V . The orthogonal super greedy algorithm and applications in compressed sensing. IEEE Trans Inf Theory, 2012, 58 (4): 2040- 2047 | | 15 | Wang J , Kwon S , Shim B . Near optimal bound of orthogonal matching pursuit using restricted isometric constant. Eur J Adv Signal Processing, 2012, 8, 1874- 1890 | | 16 | Wang J , Shim B . On the recovery limit of sparse signals using orthogonal matching pursuit. IEEE Trans Signal Processing, 2012, 60 (9): 4973- 4976 | | 17 | Li J , Wang Q , Shen Y . Near optimal condition of OMP algorithm in recovering sparse siganl from noisy measuurement. Systems Engineering and Electronics, 2014, 25 (4): 547- 553 | | 18 | Maleh R . Improved RIP analysis of orthogonal matching pursuit. Computer Science, 2011, 3, 782- 794 | | 19 | Chang L H , Wu J Y . An improved RIP-based performance guarantee for the sparse signal recovery via orthogonal matching pursuit. IEEE Trans Inf Theory, 2014, 60 (9): 4973- 4976 | | 20 | Mo Q . A sharp restricted isometry constant bound of orthogonal matching pursuit. Mathematics, 2015, 2, 249- 262 | | 21 | Wen J , Zhou Z , Wang J , et al. A sharp condition for exact support recovery with orthogonal matching pursuit. IEEE Trans Signal Processing, 2017, 65 (6): 1370- 1382 | | 22 | 叶丽颖, 李静, 王金平. 具均匀衰减投影数据下发射型SPECT图像重建方法研究. 数学物理学报, 2018, 38A (3): 613- 624 | | 22 | Ye L Y , Li J , Wang J P . Emission SPECT image reconstruction methods with uniformly attenuated projection data. Acta Math Sci, 2018, 38A (613): 624 |
|
),Jiajun Hao(