báo cáo hóa học:" Research Article Rate-Constrained Beamforming in Binaural Hearing Aids"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Rate-Constrained Beamforming in Binaural Hearing Aids | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 257197 9 pages doi 2009 257197 Research Article Rate-Constrained Beamforming in Binaural Hearing Aids Sriram Srinivasan and Albertus C. den Brinker Digital Signal Processing Group Philips Research High Tech Campus 36 5656 AE Eindhoven The Netherlands Correspondence should be addressed to Sriram Srinivasan Received 1 December 2008 Accepted 6 July 2009 Recommended by Henning Puder Recently hearing aid systems where the left and right ear devices collaborate with one another have received much attention. Apart from supporting natural binaural hearing such systems hold great potential for improving the intelligibility of speech in the presence of noise through beamforming algorithms. Binaural beamforming for hearing aids requires an exchange of microphone signals between the two devices over a wireless link. This paper studies two problems which signal to transmit from one ear to the other and at what bit-rate. The first problem is relevant as modern hearing aids usually contain multiple microphones and the optimal choice for the signal to be transmitted is not obvious. The second problem is relevant as the capacity of the wireless link is limited by stringent power consumption constraints imposed by the limited battery life of hearing aids. Copyright 2009 S. Srinivasan and A. C. den Brinker. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Modern hearing aids are capable of performing a variety of advanced digital processing tasks such as amplification and dynamic compression sound environment classification feedback cancellation beamforming and single-channel noise reduction. Improving the intelligibility and quality of speech in noise through .

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