Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array | EURASIP Journal on Advances in Signal Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array EURASIP Journal on Advances in Signal Processing 2012 2012 12 doi 1687-6180-2012-12 Longbiao Wang wang@ Kyohei Odani odani@ Atsuhiko Kai kai@ ISSN 1687-6180 Article type Research Submission date 15 June 2011 Acceptance date 17 January 2012 Publication date 17 January 2012 Article URL http content 2012 1 12 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP Journal on Advances in Signal Processing go to http authors instructions For information about other SpringerOpen publications go to http 2012 Wang et al. licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1 Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array Longbiao Wang Kyohei Odani and Atsuhiko Kai Shizuoka University Hamamatsu 432-8561 Japan Corresponding author wang@ E-mail addresses KO odani@ AK kai@ Abstract A blind dereverberation method based on power spectral subtraction SS using a multi-channel least mean squares algorithm was previously proposed to
