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Sequential blind source extraction for quasi-periodic signals with time-varying period

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journal contribution
posted on 24.11.2009, 14:29 by Thato K. Tsalaile, Reza Sameni, Saeid Sanei, Christian Jutten, Jonathon Chambers
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.



  • Mechanical, Electrical and Manufacturing Engineering


TSALAILE, T. ... et al, 2009. Sequential blind source extraction for quasi-periodic signals with time-varying period. IEEE Transactions on Biomedical Engineering, 56 (3), pp. 646-655.




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