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Title: Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals
Authors: Jafari, Maria G.
Wang, Wenwu
Chambers, Jonathon
Hoya, Tetsuya
Cichocki, Andrzej
Keywords: Blind source separation
Fetal electrocardiogram extraction
Periodic signals
Second-order statistics
Issue Date: 2006
Publisher: © IEEE
Citation: JAFARI, M.G. ...et al, 2006. Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals. IEEE Transactions on Signal Processing, 54 (3), pp. 1028-1040.
Abstract: A sequential algorithm for the blind separation of a class of periodic source signals is introduced in this paper. The algorithm is based only on second-order statistical information and exploits the assumption that the source signals have distinct periods. Separation is performed by sequentially converging to a solution which in effect diagonalizes the output covariance matrix constructed at a lag corresponding to the fundamental period of the source we select, the one with the smallest period. Simulation results for synthetic signals and real electrocardiogram recordings show that the proposed algorithm has the ability to restore statistical independence, and its performance is comparable to that of the equivariant adaptive source separation (EASI) algorithm, a benchmark high-order statistics-based sequential algorithm with similar computational complexity. The proposed algorithm is also shown to mitigate the limitation that the EASI algorithm can separate at most one Gaussian distributed source. Furthermore, the steady-state performance of the proposed algorithm is compared with that of EASI and the block-based second-order blind identification (SOBI) method.
Description: This article was published in the journal IEEE Transactions on Signal Processing [© IEEE] and is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/TSP.2005.863005
URI: https://dspace.lboro.ac.uk/2134/5598
ISSN: 1053-587X
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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