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

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 de...

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Bibliographic Details
Main Authors: Lianxi Yuan, Wenwu Wang, Jonathon Chambers
Format: Default Article
Published: 2005
Subjects:
Mechanical engineering not elsewhere classified
Adaptive step size
Natural gradient
Sequential blind source separation (BSS)
Sign algorithm
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5771
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Summary: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.

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