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Variable step-size sign natural gradient algorithm for sequential blind source separation
journal contribution
posted on 2010-01-11, 12:33 authored by Lianxi Yuan, Wenwu Wang, Jonathon ChambersA 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. 589-592Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2005Notes
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
1070-9908Language
- en