Post‐correlation radio frequency interference classification methods

  title={Post‐correlation radio frequency interference classification methods},
  author={Andr{\'e} R. Offringa and A. G. de Bruyn and Michael Biehl and Saleem Zaroubi and Gianni Bernardi and Vihan Pandey},
  journal={Monthly Notices of the Royal Astronomical Society},
We describe and compare several post-correlation radio frequency interference (RFI) classification methods. As data sizes of observations grow with new and improved telescopes, the need for completely automated, robust methods for RFI mitigation is pressing. We investigated several classification methods and find that, for the data sets we used, the most accurate among them is the SumThreshold method. This is a new method formed from a combination of existing techniques, including a new way of… 
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  • P. Friedman
  • Computer Science
    Proceedings of 8th Workshop on Statistical Signal and Array Processing
  • 1996
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