New Blind Evoked Potentials Separation Algorithm Based On Minimum Dispersion Criterion

摘要：

Alpha stable distribution processes can model the impulsive random signals and noises well in physical observation. Traditional evoked potentials (EP) analysis is developed under the condition that the background noises in EP are Gaussian distributed. In this paper, we propose neural network structures related to multilayer feed-forward networks for performing blind EP separation based on the fractional lower order statistics FLOS) and minimum dispersion (MD) criterion. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.

关键词： evoked potentials α-stable minimum dispersion

作者: Daifeng Zha

作者单位: College of Electronic Engineering Jiujiang University Jiujiang, P.R.china

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2209-2212

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）