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The problem of blind source extraction (BSE) for noisy measurements is addressed in the domain of second-order statistics using the linear predictor method. By extending the results from the noise-free case, two methods for the noisy case are proposed, whereby, for rigor, the effect of noise is removed from the cost function. The so introduced algorithms are based, respectively, on the minimization of the normalized mean square prediction error (MSPE), and the minimization of MPSE. The analysis of the derived BSE algorithms is supported by simulations
Published in:
Circuits and Systems II: Express Briefs, IEEE Transactions on
(Volume:53
,
Issue:
9
)
Date of Publication: Sept. 2006
- Page(s):
- 931 - 935
- ISSN :
- 1549-7747
- INSPEC Accession Number:
- 9107440
- Digital Object Identifier :
- 10.1109/TCSII.2006.881815
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 25 September 2006
- Issue Date :
- Sept. 2006
- Sponsored by :
- IEEE Circuits and Systems Society
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