Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging
| dc.creator | Cardoso, Jean-Francois | |
| dc.creator | Snoussi, Hichem | |
| dc.creator | Delabrouille, Jacques | |
| dc.creator | Patanchon, Guillaume | |
| dc.date | 2002-09-23 | |
| dc.date.accessioned | 2026-07-07T02:05:22Z | |
| dc.date.available | 2026-07-07T02:05:22Z | |
| dc.description | 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). | |
| dc.description | 5 pages Latex, 2 figures, uses eus.sty, paper presented at the EUSIPCO02 conference, Toulouse, september 2002 | |
| dc.identifier | https://arxiv.org/abs/astro-ph/0209466 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/0209466 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/5083 | |
| dc.subject | Astrophysics | |
| dc.title | Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging | |
| dc.type | text |