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SAMPLING PRINCIPLE AND TECHNOLOGY IN WAVELET ANALYSIS FOR SIGNALS

SAMPLING PRINCIPLE AND TECHNOLOGY IN WAVELET ANALYSIS FOR SIGNALS

作     者:Qin, Shuren Chen, Zhikui Xu, Mingtao Tang, Baoping 

作者机构:Chongqing Univ China 

出 版 物:《Chinese Journal of Mechanical Engineering》 (中国机械工程学报(英文版))

年 卷 期:1998年第11卷第4期

页      面:10-16页

核心收录:

学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基  金:中国科学院资助项目 

主  题:Signal Sample Wavelet transform Localization Edge effect 

摘      要:Sampling principle and characteristics and edge effect of orthogonal wavelet transform of signals are researched. Two samples of signals and wavelet bases must be taken in wavelet transform. In the second sample sampling interval or sampling length in different frequency range will be automatically adjusted. Wavelet transform can detect singular points. Both ends of signals are singular points. Edge effect is not avoidable.

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