ADMM-DAD net: a deep unfolding network for analysis compressed sensing

@article{Kouni2021ADMMDADNA,
  title={ADMM-DAD net: a deep unfolding network for analysis compressed sensing},
  author={Vasiliki (Vicky) Kouni and Georgios Paraskevopoulos and Holger Rauhut and George C. Alexandropoulos},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.06986}
}
In this paper, we propose a new deep unfolding neural network based on the ADMM algorithm for analysis Compressed Sensing. The proposed network jointly learns a redundant analysis operator for sparsification and reconstructs the signal of interest. We compare our proposed network with a state-of-the-art unfolded ISTA decoder, that also learns an orthogonal sparsifier. Moreover, we consider not only image, but also speech datasets as test examples. Computational experiments demonstrate that our… 

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