Separation of Noisy Astrophysical Images by Blind Time-Frequency Source Separation Methods

@article{Ozgen2007SeparationON,
  title={Separation of Noisy Astrophysical Images by Blind Time-Frequency Source Separation Methods},
  author={M. T. Ozgen and Diego Herranz and E. E. Kuruoglu},
  journal={2007 IEEE 15th Signal Processing and Communications Applications},
  year={2007},
  pages={1-4}
}
Two blind time-frequency source separation methods in the literature are adapted to astrophysical image mixtures and four algorithms are developed to separate them into their cosmic components; cosmic microwave background (CMB) radiation, galactic dust and synchrotron. These components simulated according to their physical models are mixed via realistic coefficients, and are subjected to simulated additive, nonstationary Gaussian noise components of realistic power levels, to yield image… CONTINUE READING

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