NDLI: Application of wavelet threshold de-noising to sound travel-time estimation

Content Provider	IEEE Xplore Digital Library
Author	Hua Yan Guannan Chen Junfeng Han Yinggang Zhou
Copyright Year	2010
Description	Author affiliation: School of Information Science and Engineering, Shenyang University of Technology, 110870, China (Hua Yan; Guannan Chen; Junfeng Han; Yinggang Zhou)
Abstract	The key to stored grain temperature measurement by acoustic method is to measure sound travel-time exactly. Grain is a highly absorbing acoustic medium, as a result, the sound signal received by the microphne far from the sound source has very low signal-to-noise ratio. In order to improve the sound travel-time estimation accuracy, a wavelet denoising-based cross correlation approach (in short CC_WTDN) is proposed. Soft threshold is used for its nice mathematical properties. Four threshold selection rules, that is, VisuShrink estimator, SUREShrink estimator, Heuristic estimator and Minimax estimator are tried. Simulation results based on a acoustic model of grain show that basic coross correlation method (BCC) can work well only when the sound wave path is not longer than 7.07m; while CC_WTDN can give good estimations even if the sound wave path is long as 10m. The four threshold rules tried give similar de-noising effects. The levels of wavelet decomposition have significant influence on de-noising effect.
File Size	703159
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5486199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Acoustic signal detection Discrete wavelet transforms time delay estimation wavelet thresholding de-noising Temperature measurement Temperature sensors Thermodynamics Atmospheric measurements cross correlation acoustic temperature measurement Acoustic measurements Acoustic waves Signal to noise ratio stored grain
Content Type	Text
Resource Type	Article

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