The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Abstract. This paper deals with the problem of Blind Source Separation. Contrary to the vast majority of works, we do not assume the statistical independence between the sources an...
This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed co...
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
We consider the blind separation of sources with general (e.g., not necessarily stationary) temporal covariance structures. When the sources’ temporal covariance matrices are kn...