Robust support recovery using sparse compressive sensing matrices-Reference-Cited by-同舟云学术

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Robust support recovery using sparse compressive sensing matrices

Published:2011-03 Issue: Volume: Page:
ISSN:
Container-title:2011 45th Annual Conference on Information Sciences and Systems
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Author:

Haupt Jarvis,Baraniuk Richard

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5764460/5766094/05766202.pdf?arnumber=5766202

Cited by 9 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. Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing;Journal of the ACM;2024-07-29

2. Improved Support Recovery in Universal 1-bit Compressed Sensing;IEEE Transactions on Information Theory;2024-02

3. Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension;Journal of Scientific Computing;2023-03-07

4. Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing;2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS);2022-10

5. Distributed ranking-based resource allocation for sporadic M2M communication;EURASIP Journal on Wireless Communications and Networking;2022-09-11

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