báo cáo hóa học:" Research Article Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes"

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 Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 530435 14 pages doi 2009 530435 Research Article Robust Distributed Noise Reduction in Hearing Aids with External Acoustic Sensor Nodes Alexander Bertrand and Marc Moonen EURASIP Member Department of Electrical Engineering ESAT-SCD Katholieke Universiteit Leuven Kasteelpark Arenberg 10 3001 Leuven Belgium Correspondence should be addressed to Alexander Bertrand Received 15 December 2008 Revised 17 June 2009 Accepted 24 August 2009 Recommended by Walter Kellermann The benefit of using external acoustic sensor nodes for noise reduction in hearing aids is demonstrated in a simulated acoustic scenario with multiple sound sources. A distributed adaptive node-specific signal estimation DANSE algorithm that has a reduced communication bandwidth and computational load is evaluated. Batch-mode simulations compare the noise reduction performance of a centralized multi-channel Wiener filter MWF with DANSE. In the simulated scenario DANSE is observed not to be able to achieve the same performance as its centralized MWF equivalent although in theory both should generate the same set of filters. A modification to DANSE is proposed to increase its robustness yielding smaller discrepancy between the performance of DANSE and the centralized MWF. Furthermore the influence of several parameters such as the DFT size used for frequency domain processing and possible delays in the communication link between nodes is investigated. Copyright 2009 A. Bertrand and M. Moonen. 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 Noise reduction algorithms are crucial in hearing aids to improve speech understanding in background noise. For every increase of 1 dB in .

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