Blind signal separation for convolved nonstationary signals

Blind signal separation is a signal processing technique that can extract t he original signals from their mixtures by using only the observed signals when the mixed signals can be observed by multiple sensors. In this paper, we propose a technique for blind signal separation of separating original s ignals from the observed signals which mix the nonstationary signals, such as speech or music. The proposed method implements blind signal separation by minimizing a nonnegative function that achieves the minimum (zero) when the second-order cross-correlation value of the observed signals becomes ze ro. The effectiveness of the proposed method is verified by computer simula tions and tests that used a mixed speech signal observed in an ordinary roo m. (C) 2000 Scripta Technica, Electron Comm Jpn Pt 3, 84(2): 21-29, 2001.