变时窗滤波技术压缩瞬变电磁测深数据  

Resampling TEM Sounding Data by Time-dependent Filter Method

作　　者：张继令[1] 翁爱华[1] 

机构地区：[1]铁道第三勘察设计院集团有限公司,吉林大学,天津300251,长春130026

出　　处：《铁道工程学报》2008年第2期61-64,共4页Journal of Railway Engineering Society

基　　金：863项目(2006AA06Z109);国家自然科学基金资助项目(40304009)

摘　　要：研究目的:对采样密度高、数据量大的等间隔瞬变电磁测深数据进行反演解释时,必须对数据进行无损滤波和压缩,得到反映信号衰减规律的不等间隔类对数采样瞬变电磁测深数据。本文特对此进行研究。研究结论:在瞬变测深晚期,尽管数据信噪比非常低,利用变时窗滤波技术仍然可以获得符合规律的瞬变衰减曲线。因此,变时间(时窗)依赖滤波方法是对密度非常大的等间隔瞬变电磁测深数据进行无损压缩的良好工具。Research purposes： To obtain the inversion of the transient electromagnetic sounding （TEMS） data sampled in an equivalent interval mode, the data should be compressed in an undamaged manner, so it is necessary to do research on it. Research conclusions：The data show that although the signal - to - noise ratio of TEMS response is very low in late time, but the correct decay curve can be produced by adopting time - dependent filter method. Therefore, time - dependent filter technique can be used to compress dense TEMS data without lose of decay information.

关 键 词：瞬变电磁 时间依赖滤波 数据处理 等间隔采样 

分 类 号：TN713[电子电信—电路与系统]