Blind Source Separation with Nonlinear PCA
Wei‐Qin Li · Radio and communications technology · 2007
This paper discusses Blind Source Separation (BSS) with Nonlinear PCA both theoretically and experimentally.The main problem of Nonlinear PCA is how to choose proper nonlinear function.A novel approach called on-line selection is proposed.That is,different nonlinear functions are selected according to different inputs.The experiments show the effectiveness of this approach not only with sub-sub Gaussian sources but also with sub-super Gaussian sources,which is more difficult to perform.