MURAL - Maynooth University Research Archive Library

    Second Order Blind Source Separation By Recursive Splitting Of Signal Subspaces

    Zibulevsky, Michael and Pearlmutter, Barak A. (2000) Second Order Blind Source Separation By Recursive Splitting Of Signal Subspaces. In: ICA2000 : International Workshop on Independent Component Analysis and Blind Signal Separation, June 19-22, 2000, Helsinki, Finland.

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    We present an approach to blind source separation based on delayed correlations. This method recursively splits separation space into subspaces spanned by groups of sources. The inner loop consists of repeated application of a standard eigenvalue decomposition. When the number of sources is large this algorithm is significantly faster than joint diagonalization of cross-covariance matrices.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: second order blind source separation; signal subspace; recursive splitting; inner loop; separation space; standard eigenvalue decomposition; source separation; cross-covariance matrix; repeated application; delayed correlation; joint diagonalization;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8124
    Depositing User: Barak Pearlmutter
    Date Deposited: 05 Apr 2017 15:28
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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