Denoising for different noisy chaotic signal based on wavelet transform

作     者：Ma, Jun Wu, Ya-Jing 

作者机构：Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan 030024 China 

出 版 物：《Sensors and Transducers》 (Sensors Transducers)

年 卷 期：2014年第163卷第1期

页      面：155-160页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0714[理学-统计学（可授理学、经济学学位）] 0802[工学-机械工程] 0701[理学-数学] 

主　　题：Wavelet transforms 

摘      要：In a complete Chaotic radar ranging system, its effective range is often limited by the randomness of the chaotic signal itself and other transmission channel noises or interferences. In order to improve the precision and accuracy of radar ranging system, wavelet transform is proposed to remove different kinds of noise embedded in chaotic signals. White Gaussian noise, colored Gaussian noise as well as sine-wave signal are respectively applied for simulation analysis. Applied for simulation analysis, the experimental results show that wavelet transform can not only remove the chaotic signal mixed in some of the different types of noise, and can also improve the noise ratio. © 2014 IFSA Publishing, S. L.