PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Ozgen M. T., Kuruoglu E. E., Herranz D. Astrophysical image separation by blind time-frequency source separation methods. In: Digital Signal Processing, vol. 19 (2) pp. 360 - 369. Elsevier, 2009.
 
 
Abstract
(English)
In this paper, two prevalent blind time-frequency (TF) source separation methods in the literature are adapted to astrophysical image mixtures and four algorithms are developed to separate them into their astrophysical components. The components considered in this work are cosmic microwave background (CMB) radiation, galactic dust and synchrotron, among which the CMB component is emphasized. These simulated components mixed via realistic coefficients are subjected to simulated additive, nonstationary Gaussian noise components of realistic power levels, to yield image mixtures on which our orthogonal and nonorthogonal TF algorithms are applied. The developed algorithms are compared with the FastICA algorithm and CMB component is found to be recovered with an improvement reaching to 3.25 decibels from CMB-synchrotron mixtures. The proposed techniques are believed to be generically applicable in separating other types of astrophysical components as well.
URL: http://www.sciencedirect.com/science/journal/10512004
DOI: 10.1016/j.dsp.2007.12.003
Subject Cosmic microwave background radiation
Astrophysical image separation
Source separation
Blind time-frequency source separation
Joint diagonalization
I.4.4 Restoration
J.2 Physical Sciences and Engineering. Astronomy
85A35 Statistical astronomy
42B99 Fourier analysis in several variables


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