• DocumentCode
    1787571
  • Title

    The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms

  • Author

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

  • Author_Institution
    Dept. of Comput., Univ. of Surrey, Guildford, UK
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    A solution to the problem of intraference is obtained by recognising that the current diagonalisation schemes for the complex symmetric pseudocovariance matrix are not adequate to preserve its intrinsic complex-valued nature. To this end, we propose the correlation preserving transform (CPT), which both maintains the degree of the intrinsic correlation within a recovered bivariate source (minimum intraference) and minimises the correlation between different bivariate sources (minimum interference). Unlike the existing literature, this work therefore considers both the correlation structure between the data channels within bivariate sources and inter-source correlation. The efficacy of the proposed method is validated through analysis and simulations.
  • Keywords
    interference (signal); signal processing; CPT; bivariate source; complex decorrelating transforms; correlation preserving transform; correlation structure; intersource correlation; phase ambiguity; pseudocovariance matrix; signal processing; source correlation; Approximation methods; Correlation; Covariance matrices; Matrix decomposition; Signal processing; Symmetric matrices; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
  • Conference_Location
    A Coruna
  • Type

    conf

  • DOI
    10.1109/SAM.2014.6882341
  • Filename
    6882341