Additive and Multiplicative Noise Reduction by Back Propagation Neural Network

摘要：

A novel filter is proposed by applying back propagation neural network (BPNN) ensemble where the noisy signal and the reference one are the same in a learning process.This neural network (NN) ensemble filter not only well reduces additive and multiplicative white noise inside signals,but also preserves signals characteristics.It is proved that the reduction of noise using NN ensemble filter is better than the improved ε nonlinear filter and single NN filter while signal to noise ratio is smaller.The performance of the NN ensemble filter is demonstrated in computer simulations and actual electroencephalogram (EEG) signals processing.

关键词： Additive Noise Multiplicative Noise Neural Network Filter EEG

作者: Yongjian Chen Masatake Akutagawa Masato Katayama Hirofumi Nagashino Qinyu Zhang Yohsuke Kinouchi

作者单位: Graduate School of Advanced Technology and Science,The University of Tokushima,Japan Graduate School of Advanced Technology and Science,The Uiversity of Tokushima,Japan Faculty of Medicine,The University of Tokushima,Japan Shenzhen Graduate School,Harbin Institute of Technology,China

会议类型: 国际会议

会议名称: 2008国际生物生理工程研讨会(The International Symposium on Biological and Physiological Engineering/The 22nd SICE Symposium on Biological and Physiological Engineering)

会议地点: 哈尔滨

会议语种:英文

页码: 280-283

在线出版日期: 2008-01-13（万方平台首次上网日期，不代表论文的发表时间）