Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA
Zhe Sage Chen, Jinwen Ma · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
In this paper, the complex-valued ICA problem is studied in the context of blind complex-source separation. We formulate the complex ICA problem in a general setting, and define the superadditive functional that may be used for constructing a contrast function for circular complex sources separation. We propose several contrast functions and study their properties. Finally, we also discuss relevant issues and present the convex analysis of a specific contrast function.