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| 小波分析在电磁数字化资料分析处理中的应用 | |
| 引用本文： | 宋治平,武安绪,马钦忠,冯志生,周华根,赵振林.小波分析在电磁数字化资料分析处理中的应用[J].西北地震学报,2004,26(1):38-43. |
| 作者姓名： | 宋治平 武安绪 马钦忠 冯志生 周华根 赵振林 |
| 作者单位： | 1. 上海市地震局,上海,200062 2. 北京市地震局,北京,100081 3. 江苏省地震局,江苏,南京,250014 |
| 基金项目： | "十五"攻关课题资助(2001BA601B01-04-02) |
| 摘 要： | 基于小波变换理论,分析了数字信号f(x)近似地表示为近似部分ak^jf(x)与分解(或细节)部分dk^jf(x)的理论,建立了数字化资料的干扰识别与消除、高频信息与低频信息提取的分析方法。本给出了小波分析方法应用于电磁数字化前兆的实例,说明小波变换可作为电磁数字化资料分析处理的一种有效方法。 |
| 关 键 词： | 小波变换 电磁数字化资料 前兆干扰 高频与低频 |
| 文章编号： | 1000-0844(2004)01-0038-06 |
| 收稿时间： | 2003/1/18 0:00:00 |
| 修稿时间： | 2003年1月18日 |
APPLICATION OF WAVELET TRANSFORM TO ANALYZE PRECURSORY DIGITAL DATA IN ELECTROMAGNETISM |
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| SONG Zhi-ping,WU An-xu,MA Qin-zhong,FENG Zhi-shen,ZHOU Hua-gen and ZHAO Zhen-lin.APPLICATION OF WAVELET TRANSFORM TO ANALYZE PRECURSORY DIGITAL DATA IN ELECTROMAGNETISM[J].Northwestern Seismological Journal,2004,26(1):38-43. | |
| Authors: | SONG Zhi-ping WU An-xu MA Qin-zhong FENG Zhi-shen ZHOU Hua-gen and ZHAO Zhen-lin |
| Institution: | Seismological Bureau of Shanghai, Shanghai 200062, China,Seismological Bureau of Beijing, Beijing 100080, China,Seismological Bureau of Shanghai, Shanghai 200062, China,Seismological Bureau of Jiangshu, Nanjing 210014, China,Seismological Bureau of Shanghai, Shanghai 200062, China and Seismological Bureau of Shanghai, Shanghai 200062, China |
| Abstract: | On the theory of wavelet transform,a digital signal f(x) which can be denoted approximately to an approximation signal ajjf(x) and a detail signal (or decomposition signal) dkjf(x) is analyzed theoretically,and a method for discriminating and removing noises of precursory digital data, and separating high-frequency and low-frequency information from original recording signals is proposed.In the paper,some samples for the method applying to precursory digital data in electromagnetism are given.The study shows that wavelet analysis is a new available method to deal with digital data in electromagnetic precursors. |
| Keywords: | Wavelet transform Digital data in electromagnetism Noise of precursor High-frequency and low-frequency |
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