cGAN Model-Based Radio Frequency Interference Mitigation for Radio Astronomy Data
Author:
Affiliation:
1. Dept. of Computer Engineering Chosun University,Gwangju,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10066849/10066958/10066995.pdf?arnumber=10066995
Reference8 articles.
1. Radio frequency interference mitigation using deep convolutional neural networks
2. Optimizing sparse RFI prediction using deep learning
3. Deep learning improves identification of Radio Frequency Interference
4. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
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