A novel adaptive algorithm for the blind separation of periodic sources

Jafari, Maria G.; Chambers, Jonathon

A novel adaptive algorithm for the blind separation of periodic sources.pdf (319.95 kB)

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 Chambers

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.

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

Version

VoR (Version of Record)

Publication date

2004

Notes

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