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基于小波空间噪声模型的地震数据多尺度表示
Multispace Presentation of Earthquake Data Based OnNoise Moldeling in Wavelets Space
【摘要】 利用二维离散小波变换的àtrous算法对地震数据做处理,在处理过程中,通过引入噪声模型,并利用显著性统计假设检验,得出有用信息(地震序列中的异常现象)的多分辨支撑图.利用这一工具,可对华北地区不同尺度下的震中空间分布特征进行提取,并为该区活动构造的识别提供依据.
【Abstract】 Earthquake data recurring to the two-dimensional à trous WT algorithm was analysed. In this process, by inducting noise model in the wavelet space and using significant statistic hypothesis test, the multi-resolution support of the useful information interested, that is the abnormal phenomena of the earthquake sequence was obtainned. Using these tools, we can extract the epicentral spatial distributed characters in north China at variant scale levels, and supply evidences for identifying the law of distribution of moving conformation.
【关键词】 二维离散小波变换;
àtrous算法;
多分辨支撑;
假设检验;
地震序列;
【Key words】 discrete wavelets transform; à trous algorithm; multi-resolution support; hypothesis test; sequence of earthquake;
【Key words】 discrete wavelets transform; à trous algorithm; multi-resolution support; hypothesis test; sequence of earthquake;
- 【文献出处】 华北工学院学报 ,Journal of North China Institute of Technology , 编辑部邮箱 ,2004年02期
- 【分类号】P631.4
- 【被引频次】2
- 【下载频次】113