Graph Signal Restoration Using Nested Deep Algorithm Unrolling-Reference-Cited by-同舟云学术

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Graph Signal Restoration Using Nested Deep Algorithm Unrolling

Published:2022 Issue: Volume:70 Page:3296-3311
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Nagahama Masatoshi¹,Yamada Koki¹^ORCID,Tanaka Yuichi¹^ORCID,Chan Stanley H.²^ORCID,Eldar Yonina C.³^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

2. School of Electrical and Computer Engineering, Purdue University, West West Lafayette, IN, USA

3. Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, Rehovot, Israel

Funder

JST PRESTO

JSPS KAKENHI

US National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/9675017/9796141-aam.pdf

Reference60 articles.

1. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

2. Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective

3. Learning fast approximations of sparse coding;gregor;Proc Int Conf Mach Learn,0

4. Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

5. Deep unfolding of a proximal interior point method for image restoration

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