Articolo in rivista, 2005, ENG, 10.1155/ASP.2005.2400
Bedini L.; Herranz D.; Salerno E.; Baccigalupi C.; Kuruoglu E.E.; Tonazzini A.
CNR ISTI SISSA (Baccigalupi)
This paper proposes a new strategy to separate astrophysical sources that are mutually correlated. This strategy is based on second order statistics and exploits prior information about the possible structure of the mixing matrix. Unlike ICA blind separation approaches, where the sources are assumed mutually independent and no prior knowledge is assumed about the mixing matrix, our strategy allows the independence assumption to be relaxed and performs the separation of even significantly correlated sources. Besides the mixing matrix, our strategy is also capable to evaluate the source covariance functions at several lags. Moreover, once the mixing parameters have been identified, a simple deconvolution can be used to estimate the probability density functions of the source processes. To benchmark our algorithm, we used a database that simulates the one expected from the instruments that will operate onboard ESA's Planck Surveyor Satellite to measure the CMB anisotropies all over the celestial sphere.
EURASIP journal on applied signal processing 2005 (15), pp. 2400–2412
J.2 Physical Sciences and Engineering, I.4 Image processing and computer vision
Bedini Luigi, Kuruoglu Ercan Engin, Salerno Emanuele, Tonazzini Anna
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 43838
Year: 2005
Type: Articolo in rivista
Creation: 2009-06-16 00:00:00.000
Last update: 2012-06-01 09:59:25.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:43838
DOI: 10.1155/ASP.2005.2400
ISI Web of Science (WOS): 000234953500002
Scopus: 2-s2.0-31444447309