Deep Compressed Sensing Generation Model for End-to-End Extreme Observation and Reconstruction

Deep Compressed Sensing Generation Model for End-to-End Extreme Observation and Reconstruction

Data transmission and storage are inseparable from compression technology. Compressed sensing directly undersamples and reconstructs data at a much lower sampling frequency than Nyquist, which reduces redundant sampling. However, the requirement of data sparsity in compressed sensing limits its appl...

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Bibliographic Details
Main Authors: Han Diao, Xiaozhu Lin, Chun Fang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
compressed sensing
deep learning
extreme observation
high precision reconstruction
end-to-end
Online Access:https://www.mdpi.com/2076-3417/12/23/12176

Internet

https://www.mdpi.com/2076-3417/12/23/12176

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