Identification and Extraction of Evoked Potentials Based on Borel Spectral Measure for Less Trial Mixtures

Authors:
Daifeng Zha
Affiliations:
College of Electronic Engineering, Jiujiang University, Jiujiang, China 332005
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

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Abstract

A new method for identifying the independent components of an alpha-stable random vector for under-determined mixtures is proposed. The method is based on an estimate of the discrete Borel measure for the characteristic function of an alpha-stable random vector. Simulations demonstrate that the proposed method can identify the basis vectors of evoked potentials in the so-called under-determined case of more sources than mixtures.