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Article Dans Une Revue IEEE Transactions on Biomedical Engineering Année : 2009

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

Résumé

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.
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Dates et versions

hal-00379068 , version 1 (27-04-2009)

Identifiants

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Thato Tsalaile, Reza Sameni, Saied Sanei, Christian Jutten, Jonathon Chambers. Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period. IEEE Transactions on Biomedical Engineering, 2009, 56 (3), pp.646-655. ⟨10.1109/TBME.2008.2002141⟩. ⟨hal-00379068⟩
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