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

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