NDLI: Analysis of two-channel generalized sidelobe canceller (GSC) with post-filtering

Content Provider	IEEE Xplore Digital Library
Author	Cohen, I.
Copyright Year	1993
Abstract	In this paper, we analyze a two-channel generalized sidelobe canceller with post-filtering in nonstationary noise environments. The post-filtering includes detection of transients at the beamformer output and reference signal, a comparison of their transient power, estimation of the signal presence probability, estimation of the noise spectrum, and spectral enhancement for minimizing the mean-square error of the log-spectra. Transients are detected based on a measure of their local nonstationarity, and classified as desired or interfering based on the transient beam-to-reference ratio. We introduce a transient discrimination quality measure, which quantifies the beamformer's capability to recognize noise transients as distinct from signal transients. Evaluating this measure in various noise fields shows that desired and interfering transients can generally be differentiated within a wide range of frequencies. To further improve the transient noise reduction at low and high frequencies in case the signal is wideband, we estimate for each time frame a global likelihood of signal presence. The global likelihood is associated with the transient beam-to-reference ratios in frequencies, where the transient discrimination quality is high. Experimental results demonstrate the usefulness of the proposed approach in various car environments.
Starting Page	684
Ending Page	699
Page Count	16
File Size	1933350
File Format	PDF
ISSN	10636676
Volume Number	11
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Noise cancellation Wiener filter Low-frequency noise Noise measurement Working environment noise Array signal processing Frequency estimation Adaptive signal processing Frequency measurement
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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