Matrix completion methods for the total electron content video reconstruction

Author:

Sun Hu1,Hua Zhijun1,Ren Jiaen2,Zou Shasha2,Sun Yuekai1,Chen Yang1

Affiliation:

1. Department of Statistics, University of Michigan, Ann Arbor

2. Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference54 articles.

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2. Jain, P., Netrapalli, P. and Sanghavi, S. (2013). Low-rank matrix completion using alternating minimization (extended abstract). In STOC’13—Proceedings of the 2013 ACM Symposium on Theory of Computing 665–674. ACM, New York.

3. Mazumder, R., Hastie, T. and Tibshirani, R. (2010). Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res. 11 2287–2322.

4. AA, E., HUANG, W., LIU, S., RIDLEY, A., ZOU, S., SHI, L., CHEN, Y., SHEN, H., YUAN, T. et al. (2018). Midlatitude plasma bubbles over China and adjacent areas during a magnetic storm on 8 September 2017. Space Weather 16 321–331.

5. AA, E., ZOU, S., RIDLEY, A., ZHANG, S., COSTER, A. J., ERICKSON, P. J., LIU, S. and REN, J. (2019). Merging of storm time midlatitude traveling ionospheric disturbances and equatorial plasma bubbles. Space Weather 17 285–298.

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