Joint deconvolution and unsupervised source separation for data on the sphere

@article{Gertosio2021JointDA,
  title={Joint deconvolution and unsupervised source separation for data on the sphere},
  author={R. C. Gertosio and J. Bobin},
  journal={Digit. Signal Process.},
  year={2021},
  volume={110},
  pages={102946}
}
Tackling unsupervised source separation jointly with an additional inverse problem such as deconvolution is central for the analysis of multi-wavelength data. This becomes highly challenging when applied to large data sampled on the sphere such as those provided by wide-field observations in astrophysics, whose analysis requires the design of dedicated robust and yet effective algorithms. We therefore investigate a new joint deconvolution/sparse blind source separation method dedicated for data… Expand

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