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Normalised natural gradient algorithm for the separation of cyclostationary sources

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conference contribution
posted on 07.01.2010, 16:12 by Maria G. Jafari, Jonathon Chambers
A normalised natural gradient algorithm (NGA) for the separation of cyclostationary source signals is proposed in this paper. It improves the convergence properties of the cyclostationary natural gradient algorithm (CSNGA) by employing a gradient adaptive learning rate whose value changes in response to some change in the filter parameters. Experimental results demonstrate the improved behaviour of the approach.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

JAFARI, M.G. and CHAMBERS, J., 2003. Normalised natural gradient algorithm for the separation of cyclostationary sources. IN: IEEE International Conference on Acoustics, Speech, and Signal Processing, Volume 5, pp. V - 301-304

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2003

Notes

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ISBN

0780376633

ISSN

1520-6149

Language

en