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Title: Variable step-size sign natural gradient algorithm for sequential blind source separation
Authors: Yuan, Lianxi
Wang, Wenwu
Chambers, Jonathon
Keywords: Adaptive step size
Natural gradient
Sequential blind source separation (BSS)
Sign algorithm
Issue Date: 2005
Publisher: © IEEE
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
Abstract: 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.
Description: 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.
Version: Published
DOI: 10.1109/LSP.2005.851264
URI: https://dspace.lboro.ac.uk/2134/5771
ISSN: 1070-9908
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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