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This letter proposes a novel second-order statistics-based sequential blind extraction algorithm via approximate joint diagonalization of autocorrelation matrices. The proposed algorithm is computationally simple and efficient and can extract specific sources if some a priori knowledge is available. An experiment on real-world ECG data validates the good performance of the proposed algorithm
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