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...
| الحاوية / القاعدة: | Applied Sciences |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2022-11-01
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2076-3417/12/23/12176 |
