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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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          Abstract

          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

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            Author and article information

            Conference
            April 2004
            April 2004
            : 1-9
            Affiliations
            Istituto di Scienze e Tecnologie dell’Informazione

            CNR - Area della Ricerca di Pisa. Via G. Moruzzi 1, 56124 Pisa (Italy)
            10.14236/ewic/ADA-III2004.14
            © 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 http://creativecommons.org/licenses/by/4.0/

            ADA-III - Astronomical Data Analysis III Conference
            ADA
            3
            Sant' Agata sui due Golfi, Italy
            29 April - 1 May 2004
            Electronic Workshops in Computing (eWiC)
            Astronomical Data Analysis
            Product
            Product Information: 1477-9358 BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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