English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Subspace identification through blind source separation

MPS-Authors
There are no MPG-Authors available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Grosse-Wentrup, M., & Buss, M. (2006). Subspace identification through blind source separation. IEEE Signal Processing Letters, 13(2), 100-103. doi:10.1109/LSP.2005.861581.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D2EB-A
Abstract
Given a linear and instantaneous mixture model, we prove that for blind source separation (BSS) algorithms based on mutual information, only sources with non-Gaussian distribution are consistently reconstructed independent of initial conditions. This allows the identification of non-Gaussian sources and consequently the identification of signal and noise subspaces through BSS. The results are illustrated with a simple example, and the implications for a variety of signal processing applications, such as denoising and model identification, are discussed.