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Lookup NU author(s): Dr Li Khor,
Dr Wai Lok Woo,
Professor Satnam Dlay
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Linear Independent Component Analysis (ICA) played an important role in the development of various signal processing techniques due to the inherent simplicity. However, the assumption of linear mixture is always violated in real life, which narrows down its applications. In this paper, the problem of nonlinear independent component analysis is considered. Based on a new type of nonlinear mixing model, we propose a two-stage series-based approach to recover the original source signals. The two-stage series-based algorithm offers significant advantages in terms of reduced computational complexity and better learning dynamics of the trajectory. Simulations have also been carried out to verify the efficacy of the proposed method. © 2006 IEEE.
Author(s): Gao P, Khor LC, Woo WL, Dlay SS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the IEEE International Symposium on Circuits and Systems
Year of Conference: 2006
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