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Vol. 163, Issue 1, January 2014, pp. 155-160




Denoising for Different Noisy Chaotic Signal Based on Wavelet Transform

* Jun Ma, Ya-Jing Wu

Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education Taiyuan University of Technology Taiyuan,

030024, China
* Tel.: 18234085274

* E-mail: wu0770101@126.com


Received: 22 October 2013 /Accepted: 9 January 2014 /Published: 31 January 2014

Digital Sensors and Sensor Sysstems


Abstract: 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.


Keywords: Chaotic signal, Wavelet transform, White Gaussian noise, Different types of noise, Colored Gaussian noise.


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