摘要
小波变换方法由于具有同时在时间域与频率域分析的特点,在信号的分析处理方面得到了广泛的应用,将其应用于地震信号噪声的处理,有着更好的应用前景和研究价值。笔者的研究工作主要围绕小波变换消噪过程中阈值方法的选择及阈值的选取,同时将一维小波方法与F-K滤波方法、二维小波方法与F-K方法以及这3种方法结合起来进行噪声的去除,用于实际数据处理,效果较好。
Wavelet transform （WT） has been widely used in many fields of data processing in that it can analyze the data both in time and in the frequency domain. The application of WT approach to seismic data processing has bright future, and hence further research into this field is of great value. This paper mainly discusses the thresholding methods in denoising of seismic data through WT approach. In addition, a hybrid strategy of combining WT with F-K filtering has been tried.
出处
《物探与化探》
CAS
CSCD
2007年第3期245-249,共5页
Geophysical and Geochemical Exploration
关键词
地震信号
小波变换
面波
随机噪声
去噪
阈值
seismic data,
wavelet transform
surface wave
random noise
denoising
thresholding
