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Wavelet threshold method of resolving noise interference in periodic short-impulse signals chaotic detection |
Deng Ke(邓科)†, Zhang Lu(张路), and Luo Mao-Kang(罗懋康)‡ |
Institute of Mathematics, Sichuan University, Chengdu 610065, China |
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Abstract The chaotic oscillator has already been considered as a powerful method to detect weak signals, even weak signals accompanied with noises. However, many examples, analyses and simulations indicate that chaotic oscillator detection system cannot guarantee the immunity to noises (even white noise). In fact the randomness of noises has a serious or even a destructive effect on the detection results in many cases. To solve this problem, we present a new detecting method based on wavelet threshold processing that can detect the chaotic weak signal accompanied with noise. All theoretical analyses and simulation experiments indicate that the new method reduces the noise interferences to detection significantly, thereby making the corresponding chaotic oscillator that detects the weak signals accompanied with noises more stable and reliable.
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Received: 06 July 2009
Revised: 15 September 2009
Accepted manuscript online:
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PACS:
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05.45.Gg
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(Control of chaos, applications of chaos)
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05.45.Vx
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(Communication using chaos)
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05.40.Ca
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(Noise)
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Fund: Project supported by the National
Natural Science Foundation of China (Grant No.~10731050) and the
Program for Changjiang Scholars and Innovative Research Team in
University of Ministry of Education of China (Grant No.~IRTO0742). |
Cite this article:
Deng Ke(邓科), Zhang Lu(张路), and Luo Mao-Kang(罗懋康) Wavelet threshold method of resolving noise interference in periodic short-impulse signals chaotic detection 2010 Chin. Phys. B 19 030506
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