Nonlinear single channel source separation

Darsono, Abd Majid, Gao, Bin, Woo, Wai Lok and Dlay, Satnam (2010) Nonlinear single channel source separation. In: CSNDSP 2010: 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, 21-23 July 2010, Newcastle upon Tyne, UK.

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A new model of nonlinear single channel source separation is proposed in this paper. The proposed model is a linear mixture of the independent sources followed by an element-wise post-nonlinear distortion function. In addition, the paper develops a novel solution that efficiently compensates for the nonlinear distortion and performs source separation. The proposed solution is a two-stage process that consists of a Gaussianization transform and a maximum likelihood estimator for the sources. The paper also discusses the theory behind the proposed solution. Simulations have been carried out to verify the theory and evaluate the performance of the proposed algorithm. Results obtained have shown the effectiveness of the algorithm even in presence of the strong nonlinearity.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Blind source separation, Gaussianization transform and maximum likelihood, Independent component analysis
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 14 May 2019 11:31
Last Modified: 10 Oct 2019 19:00

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