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

Дата и время публикации : 2002-09-23T13:10:17Z

Авторы публикации и институты :
Jean-Francois Cardoso (CNRS / ENST – TSI, Paris France)
Hichem Snoussi (L2S – Supelec, Gif-sur-Yvette, France)
Jacques Delabrouille (PCC – Collège de France, Paris, France)
Guillaume Patanchon (PCC – Collège de France, Paris, France)

Оригинал статьи :http://arxiv.org/abs/astro-ph/0209466v1

Скачать pdf : http://arxiv.org/pdf/astro-ph/0209466v1

Ссылка на журнал-издание: Ссылка на журнал-издание не найдена
Коментарии к статье: 5 pages Latex, 2 figures, uses eus.sty, paper presented at the EUSIPCO02 conference, Toulouse, september 2002
Первичная категория: astro-ph

Все категории : astro-ph

Краткий обзор статьи: 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).

Category: Physics