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

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.

Affiliations

Istituto di Scienze e Tecnologie dell’Informazione

CNR - Area della Ricerca di Pisa. Via G. Moruzzi 1, 56124 Pisa (Italy)

Conference

Publication date: April 2004

Publication date (Print): April 2004

Pages: 1-9

ID: 10.14236/ewic/ADA-III2004.14

Copyright statement: © L. Bedini et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

License:

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/

Conference name: ADA-III - Astronomical Data Analysis III Conference

Conference acronym: ADA

Conference number: 3

Conference location: Sant' Agata sui due Golfi, Italy

Conference date: 29 April - 1 May 2004

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Astronomical Data Analysis

Product

Product Information: 1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ADA-III2004.14

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing