• DocumentCode
    1752243
  • Title

    Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions

  • Author

    Zarzoso, Vicente ; Nandi, Asoke K.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1
  • Abstract
    In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm
  • Keywords
    covariance matrices; multidimensional signal processing; principal component analysis; 3D linear ICA; 3D signal processing; BSS; closed-form semi-blind source separation; covariance matrix; independent component analysis; orthogonal matrix; principal component analysis; quaternions; real-valued instantaneous linear mixtures; second-order spatial whitening; source statistics; three-dimensional linear ICA; three-signal scenario; unitary transformation; Biomedical signal processing; Blind source separation; Independent component analysis; Quaternions; Scattering; Signal processing; Signal processing algorithms; Source separation; Statistics; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications, Sixth International, Symposium on. 2001
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    0-7803-6703-0
  • Type

    conf

  • DOI
    10.1109/ISSPA.2001.949760
  • Filename
    949760