计算机与现代化 ›› 2013, Vol. 1 ›› Issue (4): 36-39.doi: 10.3969/j.issn.1006-2475.2013.04.009
• 人工智能 • 上一篇 下一篇
许文杰，官洪运，邬晓琳
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XU Wen-jie, GUAN Hong-yun, WU Xiao-lin
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摘要： 泥石流是一种在山区常见的灾害，因为来势凶猛，破坏力巨大，严重威胁着山区交通、水利水电等工程设施和当地居民的生命财产安全。发生泥石流灾害时产生的次声信号可以用于泥石流预警。本文在分析泥石流次声信号特点的基础上，比较希尔伯特黄变换（HHT）时频分析方法与短时傅里叶变换（STFT）、Wigner-Ville分布(WVD)方法的优缺点，通过仿真实验，证明HHT时域分析法对泥石流产生的次声波信号的分析效果更好。
关键词: 泥石流, 次声波, 时频分析, 希尔伯特黄变换
Abstract: Debris flow is a common disaster in the mountains. It brings serious threat to the mountain transportation, hydraulic and hydro-power engineering and security of life and property of local residents. When debris flow happens, it is ferocious and of destructive power. Debris flow generates infrasound signals when it happens. This paper explains the characteristics of the infrasound signal which is generated by debris flow, and introduces the Hilbert Huang transform (HHT) time-frequency analysis method. Then HHT is compared with the other time-frequency analysis methods like the short-time Fourier transform (STFT) and the Wigner-Ville distribution (WVD). The simulation results show that the Hilbert Huang transform is more suitable for the analysis of infrasound signal generated by the debris flow than the other time-frequency analysis methods.
Key words: debris flow, infrasound, time-frequency analysis, HHT
中图分类号:
TN911.6
许文杰;官洪运;邬晓琳. 泥石流次声信号时频分析方法的应用研究[J]. 计算机与现代化, 2013, 1(4): 36-39.
XU Wen-jie;GUAN Hong-yun;WU Xiao-lin. Analysis of Debris Flow Infrasound Signal Based on Time-frequency Analysis Methods[J]. Computer and Modernization, 2013, 1(4): 36-39.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.04.009
http://www.c-a-m.org.cn/CN/Y2013/V1/I4/36
