小波分析在电磁数字化资料分析处理中的应用
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"十五"攻关课题资助(2001BA601B01-04-02)


APPLICATION OF WAVELET TRANSFORM TO ANALYZE PRECURSORY DIGITAL DATA IN ELECTROMAGNETISM
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    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akjf(x)与分解(或细节)部分dkjf(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。本文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。

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    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.

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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].地震工程学报,2004,26(1):38-43. SONG Zhi-ping, WU An-xu, MA Qin-zhong, FENG Zhi-shen, ZHOU Hua-gen, ZHAO Zhen-lin. APPLICATION OF WAVELET TRANSFORM TO ANALYZE PRECURSORY DIGITAL DATA IN ELECTROMAGNETISM[J]. China Earthquake Engineering Journal,2004,26(1):38-43.

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  • 收稿日期:2003-01-18
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  • 在线发布日期: 2017-06-24