Underdetermined Blind Source Separation Based on Subspace Representation

This paper considers the problem of blindly separating sub- and super-Gaussian sources from underdetermined mixtures. The underlying sources are assumed to be composed of two orthogonal components: one lying in the rowspace and the other in the nullspace of a mixing matrix. The mapping from the rows...

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Bibliographic Details
Main Authors: Kim, Sanggyun (Contributor), Yoo, Chang D. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Kim , Sanggyun (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-03-01T20:12:45Z.
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