Sequential Blind Signal Extraction with the Linear Predictor

Authors:
Yunxia Li;Zhang Yi
Affiliations:
Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China;Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

The sequential blind signal extraction method with a linear predictor is proposed. The Kalman filter is introduced to overcome the problem of the choice of the linear predictor coefficients. Using a deflation technique, the proposed algorithm is able to sequentially recover the source signals one-by-one. Simulation results verify the validity and performance of the proposed algorithm.