• DocumentCode
    1736982
  • Title

    Tensor decompositions with Vandermonde factor and applications in signal processing

  • Author

    Sorensen, Matthew ; De Lathauwer, Lieven

  • Author_Institution
    E.E. Dept., KU Leuven, Heverlee, Belgium
  • fYear
    2012
  • Firstpage
    890
  • Lastpage
    894
  • Abstract
    Tensor decompositions involving a Vandermonde factor are common in signal processing. For instance, they show up in sensor array processing and in wireless communication. We illustrate that by simultaneously taking the tensor nature and the Vandermonde structure of the problem into account new uniqueness results and numerical methods for computing a tensor decomposition with Vandermonde structure can be obtained.
  • Keywords
    array signal processing; tensors; Vandermonde factor; Vandermonde structure; numerical methods; sensor array processing; signal processing; tensor decompositions; wireless communication; Vandermonde matrix; blind signal separation; blind system identification; block term decomposition; canonical polyadic decomposition; tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489143
  • Filename
    6489143