A novel adaptive algorithm for the blind separation of periodic sources
conference contribution
posted on 2009-12-14, 12:23 authored by Maria G. Jafari, Jonathon ChambersAn 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
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.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2004Notes
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.ISBN
0780383591Language
- en
