Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Blind separation of noisy Gaussian stationary sources. Application to
  cosmic microwave background imaging   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).

23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org