Phase retrieval for block sparsity based on adaptive coupled variational Bayesian learning-Reference-Cited by-同舟云学术

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Phase retrieval for block sparsity based on adaptive coupled variational Bayesian learning

Published:2022-10-11 Issue:9 Volume:16 Page:1118-1129
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET Signal Processing

Author:

Zhang Di¹^ORCID,Sun Yimao²,Bai Siqi³,Wan Qun¹

Affiliation:

1. School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

2. College of Computer Science Sichuan University Chengdu China

3. College of Communication Engineering Chengdu University of Information Technology Chengdu China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12157

Reference39 articles.

1. Phase retrieval in crystallography and optics

2. Inferring DNA structures from segmentation data

3. Extending the methodology of X-ray crystallography to allow imaging of micrometre-sized non-crystalline specimens

4. Phase retrieval and image reconstruction for astronomy;Dainty J.C.;Image Recovery: Theo Appl,1987

5. On signal reconstruction without phase

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