Purify: A new algorithmic framework for next-generation radio-interferometric imaging

@article{Carrillo2014PurifyAN,
  title={Purify: A new algorithmic framework for next-generation radio-interferometric imaging},
  author={Rafael E. Carrillo and Jason D. McEwen and Yves Wiaux},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={5407-5411}
}
  • R. Carrillo, J. McEwen, Y. Wiaux
  • Published 2 June 2014
  • Computer Science
  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In recent works, compressed sensing and convex optimization techniques have been applied to radio-interferometric imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. We review our latest contributions, which leverage the versatility of convex optimization to both handle realistic continuous visibilities and offer a highly parallelizable structure paving the way to significant acceleration of the reconstruction and high-dimensional data scalability. The… 
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