Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval-Reference-Cited by-同舟云学术

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Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval

Published:2022-11 Issue:11 Volume:68 Page:7604-7626
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Yang Ming-Hsun¹,Hong Y.-W. Peter²^ORCID,Wu Jwo-Yuh³^ORCID

Affiliation:

1. Department of Communication Engineering, National Central University, Taoyuan, Taiwan

2. Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan

3. Department of Electrical and Computer Engineering, Institute of Communications Engineering, and the College of Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

Ministry of Science and Technology of Taiwan

MOST Joint Research Center for AI Technology

AII Vista Healthcare

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/9925894/09801862.pdf?arnumber=9801862

Cited by 1 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. Heavy-Ball-Based Hard Thresholding Pursuit for Sparse Phase Retrieval Problems;Mathematics;2023-06-16

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