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	Single-trial event-related potentials denoising based on collaborative filtering in transform domain
	Huang, Yue ; Ding, Xinghao ; Huang Y(黄悦) ; Ding XH(丁兴号)
	2014
关键词	Collaborative filtering Image processing Internet
英文摘要	Conference Name:6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014. Conference Address: Xiamen, China. Time:July 10, 2014 - July 12, 2014.; National Natural Foundation of China; SIGMM China Chapter; Xiamen University; Single-trial event-related potentials (ERPs) denoising is still a challenge in both neuroscience research and signal processing. Single-trial ERPs denoising based on ERP image processing has received more attentions. Due to the high self similarity of the ERP images, collaborative filtering considers non-local and enforcing the sparsity in the transform domain simultaneously is presented to remove the strong back ground noise of ERP images. The work generated ERP image from the trials, and then the collaborative filtering, including image patch grouping, shrinkage in 3D transform domain, and aggregation is applied to remove the background noise from the ERP images. The results have been evaluated with both simulated data and real ERPs. The comparison has demonstrated that the collaborative filtering outperforms than popular method wavelet. Copyright 2014 ACM.
语种	英语
出处	http://dx.doi.org/10.1145/2632856.2632946
出版者	Association for Computing Machinery
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86930]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Huang, Yue,Ding, Xinghao,Huang Y,et al. Single-trial event-related potentials denoising based on collaborative filtering in transform domain. 2014-01-01.

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