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Signal separation of nonlinear mixtures using fuzzy-genetic algorithm

Lookup NU author(s): Dr Li Khor, Dr Wai Lok Woo, Professor Satnam Dlay


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This paper proposes a new technique of nonlinear blind signal separation algorithm where benefits of fuzzy logic and genetic algorithm are incorporated into the natural gradient-based algorithm. Fuzzy logic provides a simple and computationally efficient method for controlling the learning rate and genetic algorithm provides an assurance of global solution which is inherent in nonlinear separation. The effectiveness of the proposed algorithm is compared with linear and nonlinear gradient algorithms in terms of convergence speed and accuracy of separation. We provide simulations to corroborate the superiority of the proposed algorithm. (6 References).

Publication metadata

Author(s): Khor LC, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Communication Systems, Networks and Digital Signal Processing (CSNDSP)

Year of Conference: 2004

Pages: 552-555

Notes: Dlay SS Newcastle upon Tyne, UK. Communication Systems, Networks and Digital Signal Processing. CSNDSP 2004. Fourth International Symposium. Newcastle upon Tyne, UK. 20-22 July 2004.