• DocumentCode
    1670096
  • Title

    On intraference and its implications in complex-valued signal processing

  • Author

    Took, Clive Cheong ; Douglas, Scott C. ; Mandic, Danilo

  • Author_Institution
    Dept. of Comput., Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • Firstpage
    3934
  • Lastpage
    3937
  • Abstract
    We introduce the concept of intra-ference in order to quantify the degree to which the integrity of bivariate (or complex) sources is preserved in applications based on matrix decompositions of bivariate data. This is achieved by examining the pseudocovariance matrix of noncircular complex sources, and by recognising that the pseudocovariance is intrinsically complex valued. We illuminate how the existing decompositions such as the strong uncorrelating transform (SUT) not only decorrelate the bivariate sources from one another, but also decorrelate and scatter the data channels within each bivariate source, thus violating source integrity. Examples showing that the intra-ference arises due to the phase ambiguity in the existing matrix decompositions support the approach.
  • Keywords
    covariance matrices; independent component analysis; matrix decomposition; signal processing; telecommunication channels; SUT; bivariate data; complex-valued signal processing; data channels; intraference; matrix decompositions; noncircular complex sources; phase ambiguity; pseudocovariance matrix; strong uncorrelating transform; Approximation methods; Correlation; Decorrelation; Educational institutions; Matrix decomposition; Signal to noise ratio; augmented complex statistics; independent component analysis; intraference; pseudocovariance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638396
  • Filename
    6638396