Year: 2002
Type: conference-paper
Abstract: We present a technique based on the Expectation-Maximization (EM) algorithm for the separation of the components of noisy mixtures in the Fourier plane. We perform a semi-blind joint estimation of components, mixing coefficients and noise rms levels. A priori information for the spatial spectrum of the components and for the mixing coefficients can be naturally included in the algorithm. This method is applied to the separation of distinct astrophysical emissions on simulations of future observations with the High Frequency Instrument of the Planck space mission, due to be launched in 2007. The simulations include a mixture of astrophysical emissions and instrumental white noise at the levels expected for this instrument. We have obtained good preliminary results with this technique, being able to blindly separate noisy mixtures with 3 components.
Source: AIP conference proceedings
DOI: 10.1063/1.1477043
Author: H. Snoussi
Institutions: Supélec, Laboratoire des signaux et systèmes
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1582948285