改进的Gabor小波变换的特性及其在地震信号中的应用（英文）

发布时间：2018-06-24 07:34

本文选题：地震信号 + 逆变换　；参考：《Applied Geophysics》2017年04期

【摘要】：这篇文章重点研究改进的Gabor小波(improved Gabor wavelet,IGW)变)并讨论了它在地震信号处理和解释中的应用This paper introduces an improved Gabor wavelet andits complete transform,and mainly analyses their properties and discusses applications of these properties in seismic signal process and interpretation。改进的Gabor小波变换具有以下特性:1)IGWT把时域信号映射到时间-频率域,而传统Gabor小波变换把时间信号映射到时间-尺度域;2)IGWT可用于信号分频,通过固定变换的主频参数dominantfrequency,并变换能提取相应的子带信号,且其主频部分的信息与原信号相应频率部分的信息一致,通过调节变换的分辨率因子,变换能有效控制子带信号的带宽;3)用IGWT和IGWIT构建的滤波器有良好的时-频局部性,在指定时-频范围内能实现针对性滤波。文章用仿真实验和实际用例验证IGWT的这些特性,并在提高地震信号分辨率、地震信号分频和识别小断层等地震信号处理和解释等方面的应用中取得良好效果。
[Abstract]:This paper focuses on the improved Gabor wavelet (improved wavelet transform) and discusses its application in seismic signal processing and interpretation this paper introduces an improved Gabor wavelet andits complete transform and mainly analyses their properties and discusses applications of these properties in seismic signal process and interpretation. The improved Gabor wavelet transform has the following characteristics: 1) IGWT maps the time domain signal to the time-frequency domain, while the traditional Gabor wavelet transform maps the time signal to the time-scale domain / 2) IGWT can be used to divide the frequency of the signal. The main frequency parameter dominant frequency is fixed, and the corresponding sub-band signal can be extracted by the transformation, and the information of the main frequency part is the same as that of the corresponding frequency part of the original signal, and the resolution factor of the transformation is adjusted by adjusting the resolution factor of the transformation. The filter constructed by IGWT and IGWIT has good time-frequency localization and can realize targeted filtering in specified time-frequency range. In this paper, simulation experiments and practical cases are used to verify these characteristics of IGWT, and good results are obtained in the applications of improving seismic signal resolution, seismic signal frequency division and seismic signal processing and interpretation such as identifying small faults.
【作者单位】：西北工业大学航海学院;西安科技大学理学院;
【基金】：supported by the Innovation Fund for Small and Medium Technology-based Enterprise of China(No.12C26216106562) Shaanxi Province Education Department Science and Technology Research Plan(No.11JK0777)
【分类号】：P631.4

【相似文献】