Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices

<p/> <p>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...

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Bibliographic Details
Main Authors: Baccigalupi C, Bedini L, Herranz D, Salerno E, Kuruo&#287;lu EE, Tonazzini A
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.2400