Analysis of Non-negative Block Orthogonal Matching Pursuit
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09788-7.pdf
Reference33 articles.
1. Pati, Y., Rezaiifar, R., & Krishnaprasad, P. (1993). Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition. Signals, Systems and Computers, 1, 40–44.
2. Mallat, S., & Zhifeng, Z. (1993). Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41(12), 3397–3415.
3. Blumensath, T., & Davies, M. (2010). Normalized iterative hard thresholding: Guaranteed stability and performance. IEEE Journal of Selected Topics in Signal Processing, 4, 298–309.
4. Chen, S., Billings, S., & Luo, W. (2007). Orthogonal least squares methods and their application to non-linear system identification. International Journal of Control, 50, 1873–1896.
5. Li, H., Wen, J., Xian, J., & Zhang, J. (2021). Nearly optimal number of iterations for sparse signal recovery with orthogonal multi-matching pursuit. Inverse Problem, 37, 115007.
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