Normalised natural gradient algorithm for the separation of cyclostationry sources.pdf (268.08 kB)
Normalised natural gradient algorithm for the separation of cyclostationary sources
conference contribution
posted on 2010-01-07, 16:12 authored by Maria G. Jafari, Jonathon ChambersA 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 - 301-304Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2003Notes
This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/servlet/opac?punumber=8535. 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
0780376633ISSN
1520-6149Language
- en