ICA based on asymmetry

作者：

Highlights：

• We build a new approach to ICA which is based on the data asymmetry.

• Instead of densities with heavy tails, we use asymmetric ones - Split Gaussians.

• We verified our approach on images, sound and EEG data.

• In the case of source signal reconstructing our approach gives better results.

摘要

•We build a new approach to ICA which is based on the data asymmetry.•Instead of densities with heavy tails, we use asymmetric ones - Split Gaussians.•We verified our approach on images, sound and EEG data.•In the case of source signal reconstructing our approach gives better results.

论文关键词：ICA,Split Normal distribution,Skewness

论文评审过程：Received 5 July 2016, Revised 14 February 2017, Accepted 15 February 2017, Available online 17 February 2017, Version of Record 21 February 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.02.019