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Variable step-size sign natural gradient algorithm for sequential blind source separation

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journal contribution
posted on 11.01.2010, 12:33 by Lianxi Yuan, Wenwu Wang, Jonathon Chambers
A novel variable step-size sign natural gradient algorithm (VS-S-NGA) for online blind separation of independent sources is presented. A sign operator for the adaptation of the separation model is obtained from the derivation of a generalized dynamic separation model. A variable step size is also derived to better match the dynamics of the input signals and unmixing matrix. The proposed sign algorithm is appealing in practice due to its computational simplicity. Experimental results verify the superior convergence performance over conventional NGA in both stationary and nonstationary environments.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

YUAN, Y., WANG, W. and CHAMBERS, J., 2005. Variable step-size sign natural gradient algorithm for sequential blind source separation. IEEE Signal Processing Letters, 12 (8), pp. 589-592

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2005

Notes

This is an article from the journal, IEEE Signal Processing Letters [© 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.

ISSN

1070-9908

Language

en