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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5668

Title: A novel adaptive algorithm for the blind separation of periodic sources
Authors: Jafari, Maria G.
Chambers, Jonathon
Issue Date: 2004
Publisher: © IEEE
Citation: JAFARI, M.G., and CHAMBERS, J.A., 2004. A novel adaptive algorithm for the blind separation of periodic sources. IN: Proceedings of 2004 International Joint Conference on Neural Networks, Budapest, Hungary, 25-29 July, pp. 59-63.
Abstract: An adaptive algorithm for the blind separation of periodic sources is proposed in this paper. The method uses only the second order statistics of the data, and exploits the periodic nature of the source signals. Simulation results show that the proposed approach has the ability to restore statistical independence, and its performance is comparable to that of a well established, higher order, blind source separation method.
Description: This is a conference paper [© IEEE]. It 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
URI: https://dspace.lboro.ac.uk/2134/5668
ISBN: 0780383591
Appears in Collections:Conference Papers and Contributions (Electronic, Electrical and Systems Engineering)

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