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  • Title: Sequential blind source extraction for quasi-periodic signals with time-varying period.
    Author: Tsalaile T, Sameni R, Sanei S, Jutten C, Chambers J.
    Journal: IEEE Trans Biomed Eng; 2009 Mar; 56(3):646-55. PubMed ID: 19272949.
    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.
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