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TitleTrinicon-BSS system incorporating robust dual beamformers for noise reduction
Publication TypeConference Paper
Year of Publication2015
AuthorsAnderson, C.A., Meier S., Kellermann W., Teal P.D., and Poletti M.A.
Conference NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Date Published2015
AbstractIn this paper, a method of adaptive noise suppression combining spatially robust fixed beamforming and the TRINICON blind source separation algorithm is presented. A multichannel sensor array is first processed using complementary fixed beamformers into maximum and minimum SINR channels. The channels form the inputs to a single 2×2 second-order statistics TRINICON-BSS system which adaptively compensates for imperfections of the fixed beamformer design relative to the acoustic scenario. It is demonstrated that integrating the TRINICON-BSS algorithm leads to improved SINR performance over the initial imperfect beamformer design, and achieves a performance comparable to a perfect MVDR beamformer. © 2015 IEEE.
URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84946025186&partnerID=40&md5=0929f14cc660c91ec05d4cfd492a2622
DOI10.1109/ICASSP.2015.7178025Conference Paper

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