Referenced Items are not available for this document.
This paper studies the blind source separation (BSS) problem with the assumption that the source signals are cyclostationary. Identifiability and separability criteria based on second-order cyclostationary statistics (SOCS) alone are derived. The identifiability condition is used to define an appropriate contrast function. An iterative algorithm (ATH2) is derived to minimize this contrast function. This algorithm separates the sources even when they do not have distinct cycle frequencies
Published in:
Signal Processing, IEEE Transactions on
(Volume:49
,
Issue:
4
)
Date of Publication: Apr 2001
- Page(s):
- 694 - 701
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 6892134
- Digital Object Identifier :
- 10.1109/78.912913
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Apr 2001
- Sponsored by :
- IEEE Signal Processing Society
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