Contributo in atti di convegno, 2010, ENG, 10.1007/978-3-642-15995-4_67

Dependent component analysis for cosmology: a case study

Kuruoglu E. E.

CNR-ISTI, Pisa, Italy

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.

LVA/ICA 2010 - Latent Variable Analysis and Signal Separation. 9th International Conference, pp. 538–545, St. Malo, France, 27-30 September 2010

Keywords

Numerical Linear Algebra. Linear systems (direct and iterative methods), Learning, Physical Sciences and Engineering. Astronomy, 68Q32 Computational learning theory, 85A35 Statistical astronomy

CNR authors

Kuruoglu Ercan Engin

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 44364

Year: 2010

Type: Contributo in atti di convegno

Last update: 2018-02-26 18:26:33.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:44364

DOI: 10.1007/978-3-642-15995-4_67

ISI Web of Science (WOS): 000286868200067

Scopus: 2-s2.0-78349234348