An efficient way to use MS‐CLEAN associated with Shannon's entropy-Reference-Cited by-同舟云学术

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An efficient way to use MS‐CLEAN associated with Shannon's entropy

Published:2021-04-16 Issue: Volume: Page:
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Campos Ramon G.¹^ORCID,Salles Evandro O. T.¹

Affiliation:

1. Electrical Engineering Department Federal University of Espírito Santo Vitória 29075‐910 Brazil

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12215

Reference29 articles.

1. Interferometry and Synthesis in Radio Astronomy

2. J. Lett. 2019 875 1 The Event Horizon Telescope Collaboration et al.: First m87 event horizon telescope results. iv. imaging the central supermassive black hole. The Astrophys

3. Parameterized CLEAN deconvolution in radio synthesis imaging;Zhang L.;Publ. Astron. Soc. Pac.,2020

4. Moresane: Model reconstruction by synthesis‐analysis estimators ‐ a sparse deconvolution algorithm for radio interferometric imaging;Dabbech A.;A&A,2015

5. Robust sparse image reconstruction of radio interferometric observations with PURIFY;Pratley L.;Mon. Not. R. Astron. Soc.,2018

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