43 citations · 46 across the 3 of their papers we have counts for
3 papers
Component separation for Cosmic Microwave Background data: a blind approach based on spectral diversity
G. Patanchon, H. Snoussi, J. F. Cardoso +1
We present a blind multi-detector multi-component spectral matching method for all sky observations of the cosmic microwave background, working on the spherical harmonics basis. Th…
MCMC joint separation and segmentation of hidden Markov fields
Hichem Snoussi, Ali Mohammad-Djafari
In this contribution, we consider the problem of the blind separation of noisy instantaneously mixed images. The images are modelized by hidden Markov fields with unknown parameter…
Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging
Jean-Francois Cardoso, Hichem Snoussi, Jacques Delabrouille +1
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…