Author:
Cong Xunchao,Gui Guan,Luo Yong Jie,Xu Li,Wen Gongjian,Huang Xiaohong,Wan Qun
Funder
Japan Society for the Promotion of Science
National Natural Science Foundation of China grant
National Natural Science Foundation of China Grant
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Reference28 articles.
1. Ash, J. N., Potter, L. C., et al. (2014). Wide-angle synthetic aperture radar imaging: Models and algorithms for anisotropic scattering. IEEE Signal Processing Magazine, 31(4), 16–26.
2. Carrara, W. G., Goodman, R. S., Majewski, R. M., et al. (1995). Spotlight synthetic aperture radar: Signal processing algorithms. Boston: Artech House.
3. Çetin, M., Stojanovic, I., Onhon, N. O., Varshney, K. R., Samadi, S., Karl, W. C., et al. (2014). Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Processing Magazine, 31(4), 27–40.
4. Cevher, V., Duarte, M. F., Hedge, C., & Baraniuk, R. G. (2009). Sparse signal recovery using Markov random fields. In Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems (pp. 257–264). Vancouver, British Columbia, Canada.
5. Chartrand, R., & Staneva, V. (2008). Restricted isometry properties and nonconvex compressive sensing. Inverse Problems, 24(3), 1–14.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献