| 用小波变换进行IP异常分离 |
| |
| 引用本文： | 王成祥,王绪本.用小波变换进行IP异常分离[J].物探化探计算技术,1999,21(2):141-144. |
| |
| 作者姓名： | 王成祥 王绪本 |
| |
| 作者单位： | 成都理工学院 |
| |
| 摘 要： | 小波变换可以将原始信号分解到不同的尺度上，从而得到信号在不同尺度上的分量值。用小波变换的ＭＡＬＬＡＴ算法通过尺度滤波器和镜像滤波器可方便地完成这种分解。实际上，一个在空间分布的物探数据包含着各种频率成分，由于大地滤波作用，使得低频主要反映深部地质信息，高频主要反映浅部地质信息，因此可以应用小波变换进行异常的分离。对川西北Ｓ工区激发极化（ＩＰ）实测资料的处理结果表明，应用小波变换可以方便地将局部异常和区域异常进行分离，是进行数据分析和资料解释的一种有效方法
|
| 关 键 词： | 小波变换 MALLAT算法 局部异常 区域异常 |
| 修稿时间： | 1999-01-11 |
SEPARATION OF ABNORMALITY OF INDUCED POLARIZATION DATA BY WAVELET TRANSFORM |
| |
| Wang Chengxiang,Wang Xuben.SEPARATION OF ABNORMALITY OF INDUCED POLARIZATION DATA BY WAVELET TRANSFORM[J].Computing Techniques For Geophysical and Geochemical Exploration,1999,21(2):141-144. |
| |
| Authors: | Wang Chengxiang Wang Xuben |
| |
| Institution: | Chengdu University of Technology |
| |
| Abstract: | Wavelet transform can project a signal into a series of components at different scale. It needs only a quadrature mirror filter to finish the MALLAT algorithm easily. In fact, different spectrum components exist in the geophysical data of a space distribution. The earth filtering makes it possible that the low frequency data mainly reflect the information from deep earth and the high frequency data do that from shallow. So it will be appropriate to use wavelet transform to separate the local abnormality from the background. The experimental result of the real data from the Snarea in the northwest of Sichuan Province of China shows that local abnormality can be separated successfully from the area abnormality by wavelet lransform. This method is a new effective method for data interpretation. |
| |
| Keywords: | wavelet transform MALLAT algorithm local abnormality regional abnormality |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
