基于经验模态分解的探地雷达信号去噪处理
e-nosing reduction of Ground-penetrating radar signal on experiential model decomposition
探地雷达作为一种先进的地球物理探测方法，具有探测效率高、操作简单、采样迅速、无损伤探测、探测分辨率高等优点。探地雷达的信号的去噪问题已成为一个公认的技术难题。本文用经验模态分解的方法对探地雷达信号进行信号去噪处理，并取得了良好的效果。
s an advanced geophysical exploration method, Ground penetrating radar have the advantages of high detective efficiency, simplicity, rapid sampling, no nondestructive testing, high resolution. Ground-penetrating radar signal de-noising has become a recognized technical problems.Using experiential model decomposition means, De-nosing reduction of Ground-penetrating radar signal had got a good result.
刘鸿福、杨建军
地球物理学雷达
探地雷达经验模态分解信号去噪
ground-penetrating radarexperiential model decompositionsignal de-noising.
刘鸿福,杨建军.基于经验模态分解的探地雷达信号去噪处理[EB/OL].(2008-09-22)[2025-07-20].http://www.paper.edu.cn/releasepaper/content/200809-596.点此复制
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