Corpus ID: 225041067

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution

@article{Tolooshams2020UnfoldingNN,
  title={Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution},
  author={Bahareh Tolooshams and S. Mulleti and Demba E. Ba and Yonina C. Eldar},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.11391}
}
We propose a learned-structured unfolding neural network for the problem of compressive sparse multichannel blind-deconvolution. In this problem, each channel's measurements are given as convolution of a common source signal and sparse filter. Unlike prior works where the compression is achieved either through random projections or by applying a fixed structured compression matrix, this paper proposes to learn the compression matrix from data. Given the full measurements, the proposed network… Expand

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