DocumentCode :
530804
Title :
Research about non-stationary properties and de-noising of chaos signals
Author :
Chun-Yan, Nie ; Zhu-Wen, Wang ; Yi-Sheng, Lv ; Ting, Zhang
Author_Institution :
Electron. Inf. Inst., Changchun Univ., Changchun, China
Volume :
3
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
77
Lastpage :
80
Abstract :
Chaotic signal is a non-stationary signal that has many peaks and mutations. Existence of noise influences seriously useful information to be extracted. De-noising is more necessary, especially when chaotic signals are polluted by noise. Fundamental wavelet is equal to a group of band-pass filter, different scale signals and different frequency signals are separated by different band channel. Wavelet analysis is local transformation of time and frequency, which can effectively extract information from the noise. This issue will be dealt with chaos signals. The wavelet transform was proposed to removal the noise from chaotic signals in order to detect chaotic signals.
Keywords :
band-pass filters; chaos; signal denoising; wavelet transforms; band channel; band-pass filter; chaotic signals; fundamental wavelet; nonstationary signal; signal denoising; wavelet analysis; Argon; Facsimile; Noise; Noise measurement; Time frequency analysis; chaotic signal; de-noising; non-stationary signal; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5610394
Filename :
5610394
Link To Document :
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