Sequential Blind Extraction Adopting Second-Order Statistics

Author

Li, Xi-Lin ; Zhang, Xian-Da

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing

Volume

14

Issue

1

fYear

2007

Firstpage

58

Lastpage

61

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);

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.881519

Filename

4035706