文章摘要
蔡剑华.大地电磁测深数据的时频分析[J].地质与勘探,2009,45(4):462-467
大地电磁测深数据的时频分析
Time鄄Frequency Analysis of Magnetotelluric Data
投稿时间:2008-10-30  修订日期:2009-06-16
DOI:
中文关键词: 大地电磁测深数据 Winger鄄Ville 分布 小波变换 Hilbert鄄Huang 变换 时频分析
英文关键词: magnetotelluric data, Winger鄄Ville distribution, wavelet transform, Hilbert鄄Huang transform, time鄄frequency analysis
基金项目:国家863 计划(2006AA06z105);湖南省教育厅项目(08C516)资助。
作者单位
蔡剑华 中南大学信息物理工程学院,湖南长沙 
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中文摘要:
      [摘要]大地电磁测深(MT)数据表现出非线性、非平稳、非最小相位特征,不符合以Fourier 变化 为基础的传统谱分析的基本要求。为寻求更好的谱分析方法,把最新发展的Hilbert鄄Huang 变换(HHT) 引入到大地电磁测深数据的时频分析当中来, 针对湖北宜万线实测的MT 信号, 与短时Fourier 变换 (STFT)、Winger鄄Ville 分布(WVD)和小波变换(WT)进行了时频分析比较。比较分析表明: HHT 方法克 服了其它一些方法的缺陷,完全取消了窗函数的作用,其结果不受核函数影响与时频测不准原理限制, 具有完全的局部时频特性和更好的时频聚集性。分析认为HHT 是一种全新而更优越的分析与处理大 地电磁测深信号的时频方法,能更好地提取信号的时频本质特征,用于指导生产勘测实践。
英文摘要:
      Abstract:Magnetotelluric (MT) signals are non鄄liner, non鄄stationary and non鄄minimum phase, they do not meet the basic requirements of the Fou鄄 rier transform based on the traditional power spectrum estimation. The Hilbert鄄Huang transform is applied as a tool of time鄄frequency analysis in MT signal processing in this paper. The recorded MT signals from HuBei was analyzed in time and frequency domains by means of short time Fourier transform (STFT), Winger鄄Ville Distribution (WVD), wavelet transform (WT) and Hilbert鄄Huang transform (HHT). The results show that HHT Method over鄄 come some shortcomings of other ways, completely abolished the role of the window function and not restricted with core function and Heisenberg princi鄄 ple. They had local time鄄frequency characteristics and better time鄄frequency aggregation. Therefore HHT is a kind of new time鄄frequency method for ana鄄 lyzing and processing MT signals. HHT is better to extract the nature of time鄄frequency characteristics to guide the production practice.
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