A new conjugate gradient hard thresholding pursuit algorithm for sparse signal recovery-Reference-Cited by-同舟云学术

A new conjugate gradient hard thresholding pursuit algorithm for sparse signal recovery

Published:2020-09-11 Issue:4 Volume:39 Page:
ISSN:2238-3603
Container-title:Computational and Applied Mathematics
language:en
Short-container-title:Comp. Appl. Math.

Author:

Zhu Zhibin,Ma Jinyao^ORCID,Zhang Benxin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40314-020-01313-5.pdf

Reference34 articles.

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4. Blanchard JD, Jared T, Ke W (2015) CGIHT: conjugate gradient iterative hard thresholding for compressed sensing and matrix completion[J]. Inf Infer J IMA 4(4):289–327

5. Burger M, Möller M, Benning M et al (2013) An adaptive inverse scale space method for compressed sensing. Math Comput 82(281):269–299

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