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Separation of Dependent Sources in Astrophysical Radiation Maps using Second Order Statistics

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ADA-III - Astronomical Data Analysis III Conference (ADA)

Astronomical Data Analysis

29 April - 1 May 2004

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      This paper proposes a semi-blind approach for the separation of sources that are not totally uncorrelated. Up to now, all work on separation of components in astrophysical maps have assumed statistically independent sources. In this work, we attempt to perform a dependent component analysis of astrophysical sources and we propose a semi-blind algorithm which provides separation using second-order statistics only.

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      The Independence Assumption Dependent Component Analysis


        Author and article information

        Istituto di Scienze e Tecnologie dell’Informazione

        CNR - Area della Ricerca di Pisa. Via G. Moruzzi 1, 56124 Pisa (Italy)
        April 2004
        April 2004
        : 1-9
        © L. Bedini et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

        This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

        ADA-III - Astronomical Data Analysis III Conference
        Sant' Agata sui due Golfi, Italy
        29 April - 1 May 2004
        Electronic Workshops in Computing (eWiC)
        Astronomical Data Analysis
        Product Information: 1477-9358 BCS Learning & Development
        Self URI (journal page):
        Electronic Workshops in Computing


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