Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period

Tsalaile, T., Sameni, R., Sanei, Saeid, Jutten, C. and Chambers, J. 2009. Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period. IEEE Transactions on Biomedical Engineering 56 (3) , 646 - 655. 10.1109/TBME.2008.2002141

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Abstract

A novel second-order-statistics-based sequential blind extraction algorithm for blind extraction of quasi-periodic signals, with time-varying period, is introduced in this paper. Source extraction is performed by sequentially converging to a solution that effectively diagonalizes autocorrelation matrices at lags corresponding to the time-varying period, which thereby explicitly exploits a key statistical nonstationary characteristic of the desired source. The algorithm is shown to have fast convergence and yields significant improvement in signal-to-interference ratio as compared to when the algorithm assumes a fixed period. The algorithm is further evaluated on the problem of separation of a heart sound signal from real-world lung sound recordings. Separation results confirm the utility of the introduced approach, and listening tests are employed to further corroborate the results.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Uncontrolled Keywords:	Blind source extraction (BSE), quasi-periodic, second-order statistics, statistical nonstationarity, time-varying period
Publisher:	IEEE
ISSN:	0018-9294
Last Modified:	19 Mar 2016 22:08
URI:	https://orca.cardiff.ac.uk/id/eprint/5482

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