SEPARATION OF REAL-WORLD SIGNALS

A signal separation algorithm is used in the present paper in order to improve the signal-to-noise ratio (SNR) of a signal disturbed by nois e. The algorithm uses a criterion of squared cross-correlations betwee n separated signals, and is thus based on second-order statistics. Lea king is introduced in order to improve the performance. The signals us ed are real-world signals measured with a modified mobile unit with tw o microphones. Signal-to-noise ratios, before and after separation, ar e presented. Furthermore, it is shown how to compute the SNR for signa ls in scenarios when both the mixing system and the noise signals are unknown. (C) 1998 Elsevier Science B.V. All rights reserved.