1 Ocak 2009 Dergi makalesi Açık Erişim

Ozgen, Mehmet Tankut; Kuruoglu, Ercan Engin; Herranz, Diego

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/39133</identifier>
  <creators>
    <creator>
      <creatorName>Ozgen, Mehmet Tankut</creatorName>
      <givenName>Mehmet Tankut</givenName>
      <familyName>Ozgen</familyName>
      <affiliation>Anadolu Univ, Dept Elect &amp; Elect Engn, TR-26470 Eskisehir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Kuruoglu, Ercan Engin</creatorName>
      <givenName>Ercan Engin</givenName>
      <familyName>Kuruoglu</familyName>
      <affiliation>CNR, Inst Sci &amp; Tecnol Informaz, I-56124 Pisa, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Herranz, Diego</creatorName>
      <givenName>Diego</givenName>
      <familyName>Herranz</familyName>
      <affiliation>CSIC UC, Inst Fis Cantabria, Cantabria 39005, Italy</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Astrophysical Image Separation By Blind Time-Frequency Source Separation Methods</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2009</publicationYear>
  <dates>
    <date dateType="Issued">2009-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/39133</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.dsp.2007.12.003</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In this paper, two prevalent blind time-frequency (TF) source separation methods in the literature are adapted to astrophysical image mixtures and four algorithms are developed to separate them into their astrophysical components. The components considered in this work are cosmic microwave background (CMB) radiation, galactic dust and synchrotron, among which the CMB component is emphasized. These simulated components mixed via realistic coefficients are subjected to simulated additive, nonstationary Gaussian noise components of realistic power levels, to yield image mixtures on which our orthogonal and nonorthogonal TF algorithms are applied. The developed algorithms are compared with the FastICA algorithm and CMB component is found to be recovered with an improvement reaching to 3.25 decibels from CMB-synchrotron mixtures. The proposed techniques are believed to be generically applicable in separating other types of astrophysical components as well. (C) 2008 Elsevier Inc. All rights reserved.</description>
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