DIFFERENTIAL DECORRELATION FOR NONSTATIONARY SOURCE SEPARATION
Seungjin Choi, Yannick Deville · 2001
In this paper we consider the problem of source separation for the case that sources are (second-order) nonstationary, especially their variances are slowly time varying. The differential correlation is exploited in order to capture the time-varying statistics of signals. We show that nonstationary source separation can be achieved by differential decorrelation. Algebraic methods are presented and discussed.