A Multiple-Measurement Vectors Reconstruction Method for Low SNR Scenarios-Reference-Cited by-同舟云学术

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A Multiple-Measurement Vectors Reconstruction Method for Low SNR Scenarios

Published:2020-04 Issue:4 Volume:67 Page:785-789
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Wang Leiou^ORCID,Wang Donghui,Hao Chengpeng^ORCID

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/9048013/08735722.pdf?arnumber=8735722

Cited by 4 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. A Comparative Analysis of Speech Enhancement Techniques Based on Sparsity Features;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

2. Forward-Looking Super-Resolution Imaging Based on Echo Denoising and Noise Weighting at Low SNR;IEEE Sensors Journal;2023-02-01

3. A Mixing Sequence Optimization Method for Focused Compressed Sampling Based on Modulated Wideband Converter;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-12

4. Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors;Mathematical Problems in Engineering;2020-09-30

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