计算机与现代化Issue(7)：195-197,201,4.DOI:10.3969/j.issn.1006-2475.2012.07.054
基于小波分析在地震信号噪声消除中的应用
Application of a Novel Method to Removing Random Noises in Seismic Data Processing Based on Wavelet Analysis
李晖 1余涛 2杜光伟 3肖国富3
作者信息
- 1. 河南省科学院高新技术研究中心,河南郑州450002
- 2. 信阳市质量技术监督局,河南信阳464000
- 3. 平顶山市西部投资建设开发公司,河南平顶山467000
- 折叠
摘要
Abstract
The random noise is a kind of noise with wide frequency band in seismic data and influences the useful signal very much. It is very important to remove the random noise from the seismic data. Fast Fourier Transform (FFT) is the traditional method to remove the random noise and can analysis a signal on the whole spectrum, however, cannot analysis non-stationary signal. Wavelet analysis is a novel method to improve the practical data and remove the noise and is prior to other methods. This paper uses the wavelet analysis to remove the random noise from the seismic data, the results show that wavelet analysis can more efficiently remove the noise and improve the precision of seismic data.关键词
随机噪声/小波分析/维纳滤波/傅里叶变换/去噪Key words
random noise/ wavelet analysis/ Wiener filter/ FFT/ denoise分类
信息技术与安全科学引用本文复制引用
李晖,余涛,杜光伟,肖国富..基于小波分析在地震信号噪声消除中的应用[J].计算机与现代化,2012,(7):195-197,201,4.
