Generative adversarial networks for real-time recovering grossly corrupted synthetic aperture radar (SAR) data.
The framework can be extended to learn various types of degrading operators. Below is an initial result for learning rotation operators:
Generative adversarial networks for real-time recovering grossly corrupted data (Tensorflow, Python)
License: MIT License
Hello Mr., can sargan recover the missed features of speech spectrum?
For example, in speech magnitude map, some bandwidth is missed or attenuated.
Further, if the above assumption is ok, how to recover phase information of the missed spectrum?
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