摘要
应用KL变换方法在位场数据处理中消除信号频段上的干扰噪声,确定出信号和随机噪声所对应的特征范围,提取信号特征并重构数据,使随机噪声的影响降到最低限度,从而提高信噪比。
This paper expounds the mathematical theory of KL transformation method, and presents a new approach to eliminate the random noise which has the same frequency spectrum range as the signal in potential field data processing by using the KL transformation. This approach is based on the KL transformation of potential field data into characteristic vectors. The distribution of characterise indicates which characterise are related to the signal and which to the random noise. By extracted the characterise associated with the signal, the data may be reconstructed and the random noise eliminated. The test of the method on gravity and magnetic data shows that the approach can reduce the random noise to the inferior limit, thus the signal-noise radio fully increased.
关键词
磁法勘探
KL变换
位场
数据处理
gravity prospecting
magnetic prospecting/KL transformation
potential field data processing
random noise
