@inproceedings{bdc30921e2bc446fbab7b08b40de2647,
title = "A novel method of high frequency weak signal detection based on chaotic oscillator system and wavelet transform system",
abstract = "Based on chaotic oscillator system and wavelet transform system, this paper proposes a novel method on high frequency weak signal detection. Chaotic system is a typical non-linear system which is sensitive to certain signals and immune to noise at the same time. Its properties demonstrate the potential application on weak signal detection. Due to the good localization in both time domain and frequency domain, the wavelet transform method can automatically adjust to different frequency components and increase the Signal-to-Noise Ratio. Starting from the analysis of advantages and disadvantages of two signal detection methods, we put forward a combined method that takes advantage of each method to detect weak signals with high frequency. The simulation results show that the novel method can detect weak signals with frequency in an order of magnitude of 10 7Hz, and the input Signal-to-Noise Ratio threshold could be -42.5dB.",
keywords = "Chaotic system, High frequency, Wavelet transform, Weak signal detection",
author = "Shuo Shi and Jinyan Li and Xuemai Gu",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.130-134.2770",
language = "英语",
isbn = "9783037852866",
series = "Applied Mechanics and Materials",
pages = "2770--2773",
booktitle = "Mechanical and Electronics Engineering III",
note = "2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011 ; Conference date: 23-09-2011 Through 25-09-2011",
}