Title :
Investigation of discrete wavelet transform for signal de-noising in weight-in-motion system
Author :
Xu Jian ; Ma Bin
Author_Institution :
Sch. of Comput. & Inf. Eng., Shandong Univ. of Finance, Jinan, China
Abstract :
Discrete wavelet transform for signal de-noising to enhance the accuracy of fiber-optic Weight-In-Motion(WIM) system is presented in this paper. The fiber-optic WIM system working principle is demonstrated and the characteristic of the axle weight signal is analyzed. The algorithm of the discrete wavelet transformation and its implementation is discussed in detail. Through multi-scale decomposition and reconstruction, the classification and feature extraction from vibration signals is realized. Field experiments are conducted to evaluate the performance of the proposed method, simultaneously. Experimental results show that discrete wavelet transform for signal de-noising in weight-in-motion(WIM) system is effective.
Keywords :
discrete wavelet transforms; feature extraction; optical fibres; performance evaluation; signal denoising; vibrations; axle weight signal; classification; discrete wavelet transform; feature extraction; fiber-optic weight-in-motion system; multiscale decomposition; multiscale reconstruction; performance evaluation; signal de-noising; vibration signals; Axles; Circuits; Discrete wavelet transforms; Frequency; Noise reduction; Optical fiber sensors; Signal analysis; Signal denoising; Tires; Vehicle dynamics; de-noising; discrete wavelet transform; fiber-optic; weight-in-motion(WIM);
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497617
