Title :
Sequential Blind Extraction Adopting Second-Order Statistics
Author :
Li, Xi-Lin ; Zhang, Xian-Da
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
Abstract :
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
Keywords :
approximation theory; blind source separation; correlation methods; electrocardiography; feature extraction; higher order statistics; matrix algebra; medical signal processing; ECG data; a priori knowledge; approximation; autocorrelation matrix; electrocardiography; joint diagonalization; second-order statistics; sequential blind extraction algorithm; Algorithm design and analysis; Autocorrelation; Blind source separation; Cost function; Data mining; Electrocardiography; Helium; Higher order statistics; Iterative algorithms; Matrix decomposition; Approximate joint diagonalization (AJD); blind extraction; second-order statistics (SOS);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.881519
