Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging

Astronomy and Astrophysics – Astrophysics

Scientific paper

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5 pages Latex, 2 figures, uses eus.sty, paper presented at the EUSIPCO02 conference, Toulouse, september 2002

Scientific paper

We present a new source separation method which maximizes the likelihood of a model of noisy mixtures of stationary, possibly Gaussian, independent components. The method has been devised to address the problem of imaging CMB anisotropies. It works in the spectral domain where, thanks to two simple approximations, the likelihood assumes a simple form which is easy to handle (low dimensional sufficient statistics) and to maximize (via the EM algorithm).

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