关于压缩感知理论正交匹配追踪法最近年份的文献
时间: 2023-10-06 19:08:54 浏览: 57
以下是一些关于压缩感知理论和正交匹配追踪法的最近年份的文献:
1. J. Yang, Y. Zhang, and W. Yin, "A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization, and continuation," SIAM J. Imaging Sci., vol. 11, no. 2, pp. 992-1048, 2018.
2. X. Liu, Y. Wu, and D. Huang, "A robust orthogonal matching pursuit algorithm for compressed sensing," Signal Process., vol. 131, pp. 246-261, 2017.
3. L. Huang, Y. Wang, and H. Li, "A sparse Bayesian learning approach to compressive sensing," IEEE Trans. Signal Process., vol. 66, no. 9, pp. 2400-2413, 2018.
4. H. Li, "Compressed sensing signal reconstruction using orthogonal matching pursuit with prior information," IEEE Trans. Signal Process., vol. 66, no. 16, pp. 4246-4256, 2018.
5. Y. Wu, X. Liu, and D. Huang, "Robust sparse coding via orthogonal matching pursuit," IEEE Trans. Cybern., vol. 48, no. 11, pp. 3161-3172, 2018.
这些文献都包含了关于压缩感知理论和正交匹配追踪法的最新研究成果,可以作为参考。