Data di Pubblicazione:
2010
Abstract:
In this paper, we discuss various dependent component analysis approaches available in the literature and study their performances on the problem of separation of dependent cosmological sources from multichannel microwave radiation maps of the sky. Realisticaly simulated cosmological radiation maps are utilised in the simulations which demonstrate the superior performance obtained by tree-dependent component analysis and correlated component analysis methods when compared to classical ICA.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Numerical Linear Algebra. Linear systems (direct and iterative methods); Learning; Physical Sciences and Engineering. Astronomy; 68Q32 Computational learning theory; 85A35 Statistical astronomy
Elenco autori:
Kuruoglu, ERCAN ENGIN
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