About: Joint Matrices Decompositions and Blind Source Separation     Goto   Sponge   NotDistinct   Permalink

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  • This article provides a comprehensive survey of matrix joint decomposition techniques in the context of source separation. More precisely, we first intend to elaborate upon the signal models leading to different useful sets of matrices and their joint decompositions. Second, we present recent identifiability results and algorithms in distinguishing important classes.
  • This article provides a comprehensive survey of matrix joint decomposition techniques in the context of source separation. More precisely, we first intend to elaborate upon the signal models leading to different useful sets of matrices and their joint decompositions. Second, we present recent identifiability results and algorithms in distinguishing important classes. (en)
Title
  • Joint Matrices Decompositions and Blind Source Separation
  • Joint Matrices Decompositions and Blind Source Separation (en)
skos:prefLabel
  • Joint Matrices Decompositions and Blind Source Separation
  • Joint Matrices Decompositions and Blind Source Separation (en)
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  • RIV/67985556:_____/14:00427607!RIV15-GA0-67985556
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  • 3
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  • 23569
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  • RIV/67985556:_____/14:00427607
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  • joint matrices decomposition; tensor decomposition; blind source separation (en)
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  • US - Spojené státy americké
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  • IEEE Signal Processing Magazine
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  • 31
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  • Tichavský, Petr
  • Yeredor, A.
  • Shen, H.
  • Chabriel, G.
  • Kleinsteuber, M.
  • Moreau, E.
http://linked.open...ain/vavai/riv/wos
  • 000334676700007
issn
  • 1053-5888
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/MSP.2014.2298045
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