Instantaneous blind signal extraction using second order statistics

The ultimate goal of instantaneous blind signal extraction is to find one source out of an instantaneous mixture of many others, without, or with a minimum of, prior information. Extraction can be performed by first identifying the complete mixing system and subsequently inverting that system. The goal of this paper is to describe the problems behind blind extraction and to directly find the extracting solution, without first identifying the complete mixing system. The proposed method uses second order statistics to identify the extracting solution and can be applied to mixing problems with different kinds of temporal structure e.g. non-stationarity, coloredness