Signal Separation Applied to Real World Signals
Henrik Sahlin, Holger Broman · 1997
A signal separation algorithm is used in the present paper in order to improve the Signal to Noise Ratio (SNR) of a signal disturbed with noise. The algorithm uses a criterion of squared crosscorrelations between separated signals, and is thus based on second order statistics. Leaking is introduced in order to improve the performance. The signals used are real world signals measured with a modified mobile unit with two microphones. Signal to noise ratios, before and after separation, are presented. Furthermore, it is shown how to compute the SNR for signals in scenarios when both the mixing system and the noise signals are unknown. 1 INTRODUCTION Modern telephones are very sensitive to environmental noise. The codebooks for digital communication are designed to deal with undisturbed speech, and disturbed speech can therefore become even more distorted before it reaches the recipient. For these reasons it is important to achieve a higher signal quality before the signal transmission. T...