【摘要】 在传统的地震资料分析、处理和属性分析提取等研究中,基于平稳信号分析处理理论的傅里叶变换是核心技术之一。地震信号往往是非线性、非平稳信号,传统傅里叶变换是一种整体变换,难于反映非平稳信号的局部特征,而时频分析技术能同时展示信号在时间域和频率域的局部化特征。在介绍几种地震常用的时频分析方法基础上,进一步深入研究自适应时频分析方法。理论分析和试验表明,自适应最优核时频分布在抑制交叉项的同时,时频聚集性也较好,因此,更有利于地震勘探信号的分析和地震属性的提取、频谱分解等。更多还原

【Abstract】 In the traditional seismic study,such as seismic data analysis,processing and attribute analysis,the Fourier transform based on stationary signal processing theory is the core technology.The traditional Fourier transform is a kind of integral transform,and seismic signals are usually non-linear and non-stationary,so it is difficult to reflect the partial feature of the non-stationary signal.However,the time-frequency analysis technique has the capability to reflect the partial feature of signal in time domain and frequency domain.This paper,based on the introduction to several common seismic time-frequency analysis methods,is devoted to in-depth study of adaptive time-frequency analysis method.Theoretical analysis and testing show that: the adaptive optimum Kernel time-frequency representation can repress cross-terms and has better time-frequency resolution,so it is worthy to do more research on seismic attributes extraction and spectral decomposition.更多还原