Compressed data separation via dual frames based split-analysis with Weibull matrices

Author:

Cai Yun,Li Song

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference27 articles.

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2. J. Cai, S. Osher and Z. Shen. Split Bregman methods and frame based image restoration, Multiscale Model Simul, 2009, 8: 337–369.

3. T. Cai, L. Wang and G. Xu. New bounds for restricted isometry constants, IEEE Trans Inform Theory, 2010, 56: 4388–4394.

4. T. Cai and A. Zhang. Sharp RIP bound for sparse signal and low-rank matrix recovery, Appl Comput Harmon Anal, 2012, 31: 59–73.

5. T. Cai and A. Zhang. Sparse representation of a polytope and recovery of sparse signals and lowrank matrices, manuscript, available at http://arxiv.org/abs/1306.1154.pdf .

Cited by 2 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

1. Compressed Data Separation via ℓq-Split Analysis with ℓ∞-Constraint;Acta Mathematica Sinica, English Series;2024-04-20

2. Sparse recovery in probability via l q -minimization with Weibull random matrices for 0 < q ≤ 1;Applied Mathematics-A Journal of Chinese Universities;2018-03

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