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Báo cáo hóa học: " Research Article Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms"

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 Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 925870 15 pages doi 10.1155 2009 925870 Research Article Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms Richard C. Hendriks 1 Richard Heusdens 1 Jesper Jensen EURASIP Member 2 and Ulrik Kjems2 1 Department of Mediamatics Delft University of Technology Mekelweg 4 2628 CD Delft The Netherlands 2 Oticon A S 2765 Sm0rum Denmark Correspondence should be addressed to Richard C. Hendriks r.c.hendriks@tudelft.nl Received 18 February 2009 Revised 16 June 2009 Accepted 26 August 2009 Recommended by Soren Jensen Although most noise reduction algorithms are critically dependent on the noise power spectral density PSD most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently a DFT-subspace-based method was proposed which improves noise PSD estimation under these conditions. However this approach is based on eigenvalue decompositions per DFT bin and might be too computationally demanding for low-complexity applications like hearing aids. In this paper we present a noise tracking method with low complexity but approximately similar noise tracking performance as the DFT-subspace approach. The presented method uses a periodogram with resolution that is higher than the spectral resolution used in the noise reduction algorithm itself. This increased resolution enables estimation of the noise PSD even when speech energy is present at the time-frequency point under consideration. This holds in particular for voiced type of speech sounds which can be modelled using a small number of complex exponentials. Copyright 2009 Richard C. Hendriks et al. 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 The growing interest in .